Salary Processing Jobs in Bengaluru

Job Title: Finance Associate Location: Bangalore Department: Finance Employment Type: Full-Time About FalconX At FalconX, we are a pioneering team of operators, investors, and builders committed to transforming institutional access to the cryptocurrency markets. By blending traditional finance with cutting-edge technology, we are solving the industry's most pressing challenges. As the leading solution provider for all digital asset strategies, FalconX empowers clients to navigate the rapidly evolving world of cryptocurrency with confidence, clarity, and ease. Our clients range from large financial institutions to innovative startups, and we are building the connective infrastructure that bridges conventional financial markets and the world of digital assets. What You ll Do As a Finance Associate at FalconX, you will play a critical role in ensuring accurate financial operations and reporting within the organization. You will support the team with key accounting tasks, reconciliations, reporting, and audits while helping streamline processes for optimal financial outcomes. Key Responsibilities Maintain & Reconcile General Ledger Accounts: Prepare and post journal entries with appropriate supporting documentation. Reconcile balance sheet accounts such as cash, prepaid expenses, accruals, and intercompany accounts using NetSuite. Support crypto wallet reconciliations, ensuring that on-chain balances align with internal records. Month-End & Year-End Close: Assist with the timely and accurate month-end and year-end closing processes, including completion of checklist items in FloQast. Prepare monthly schedules and ensure they tie to the general ledger. Identify and correct posting errors during the close process. Prepare Financial Reports: Run monthly financial reports and trial balances from ERP systems (e.g., NetSuite, Oracle). Compile supporting schedules for balance sheets and income statements, assist with variance analysis and provide account-level explanations. Cross-Functional Collaboration: Collaborate with Operations, Platform, and FP&A teams to confirm data accuracy for financial transactions and journal entries. Follow standardized coding rules for vendors, departments, and accounts to ensure consistent reporting. Internal Controls and Compliance: Adhere to internal controls over financial reporting, following established approval and documentation procedures for all journal entries. Support audit and control reviews, assisting with PBC documentation and responding to auditor inquiries. Payroll Reconciliation: Reconcile payroll reports from systems like Rippling to the ERP (NetSuite) GL entries. Record recurring payroll and benefit journal entries and support the team in managing payroll-related liabilities. Prepaid and Accrual Management: Update and amortize prepaid expense schedules using ERP templates. Record standard accrual entries for open invoices or unbilled expenses, ensuring all balances are reconciled. Bank Reconciliation: Conduct weekly reconciliations for fiat bank accounts, investigate unmatched transactions, and coordinate with the Treasury and Opex teams for settlement confirmation. Budgeting and Forecasting Support: Provide historical data and expense trends to support the FP&A team with planning and budgeting. Help track recurring vs. non-recurring items during budget-to-actual reviews and maintain allocation files. Financial Analysis & Reporting: Assist in analyzing monthly account fluctuations and identify significant variances. Build reconciliations and basic dashboards for reporting purposes. Success in the Role Own the general ledger reconciliations to enable smooth and on-time month-end close. Partner with Trading, Treasury, and Operations teams to validate data and ensure proper GL treatment. Demonstrate a passion for working in a fast-paced, dynamic environment with a strong initiative to learn and grow. Maintain high levels of accuracy and attention to detail, ensuring all tasks are executed with precision. Exhibit the ability to multitask efficiently under pressure while meeting deadlines and achieving departmental goals. Required Qualifications Educational Background: Bachelor s degree in Accounting, Finance, or related field. Professional certifications (e.g., Chartered Accountant (CA), CPA) preferred. Experience: 3 5 years of relevant experience in accounting and finance. Experience working in financial institutions or financial services start-ups is preferred. Familiarity with IFRS and US GAAP reporting standards. Technical Skills: Proficiency in Microsoft Excel, Word, and PowerPoint. Familiarity with NetSuite or other ERP systems. Strong analytical skills and the ability to interpret complex financial data. Communication & Interpersonal Skills: Strong verbal and written communication skills, with the ability to present complex concepts clearly and concisely. A collaborative mindset, with the ability to work across multiple teams and interact with stakeholders at various levels. Other Skills: Detail-oriented with a focus on accuracy in financial data management. Ability to work independently with great initiative. Prior experience in cryptocurrency markets is advantageous but not required. Innovative Environment: Join a dynamic team at the intersection of traditional finance and the emerging crypto market. High-Growth Opportunity: Be part of a rapidly scaling organization with access to cutting-edge technology and the evolving landscape of digital assets. Collaborative Culture: Work alongside industry leaders and innovators who share a commitment to making crypto markets accessible and transparent. Competitive Compensation: Enjoy a comprehensive salary and benefits package with opportunities for career growth and development. If you are eager to be a part of an industry-defining company at the forefront of the crypto revolution, we want to hear from you. Join FalconX and help shape the future of digital asset trading and institutional access! Qualif...

Data Engineering Lead Bengaluru | Engineering | Full-Time About Fam (formerly FamPay) Fam is India s first payments app designed for everyone aged 11 and above. FamApp enables seamless online and offline payments through UPI and FamCard. Our mission is to empower over **250 million young Indians** to start their financial journey early, becoming financially aware and confident. Founded in 2019 by IIT Roorkee alumni, Fam is backed by top-tier investors including Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital India), Venture Highway, and angels like Kunal Shah and Amrish Rao. About the Role We re looking for a visionary **Data Engineering Lead** to take **end-to-end ownership** of Fam s data ecosystem from data ingestion and storage to processing and delivering actionable insights. You ll **define the data strategy and architecture** that supports both batch and **real-time** use cases, ensuring scalability, reliability, and governance across the organization. You will be instrumental in enabling accurate, complete, and trusted data flow that powers business intelligence, analytics, and product decision-making. This role involves **leadership, strategic thinking**, and hands-on problem solving. What You ll Do Own the full data lifecycle: ingestion, organization, storage, processing, and presentation. Define and execute **data architecture and strategy** aligned with operational and analytical goals. Build **scalable, reliable, and observable data systems** supporting batch and near real-time processing. Ensure **data quality, governance, and compliance**, proactively resolving discrepancies. Collaborate with product, engineering, and business teams to define, track, and optimize key metrics. Anticipate data-related challenges and implement preventive solutions. Lead, mentor, and grow the data engineering team, fostering innovation and accountability. Must-Haves 10+ years experience in data engineering, including proven leadership of teams or projects. Expertise designing, building, and scaling end-to-end data pipelines and systems. Deep understanding of the data lifecycle, from ingestion through business reporting. Strong communication skills and ability to collaborate across technical and business teams. Solid knowledge of **data governance, quality assurance, and compliance standards**. Experience with observability and proactive monitoring for data systems. Proficiency in Python and SQL; familiarity with Scala or Java. Hands-on experience with streaming and batch data frameworks. Experience designing large-scale data lakes and warehouses with best practices for schema evolution and partitioning. Strong background with **cloud platforms (AWS, GCP, or Azure)**. Fintech or regulated industry experience is a plus. Good to Have Fintech-specific data experience, including regulatory compliance and reporting. Deployment experience with **real-time analytics** and event-driven architectures. Familiarity with containerization and infrastructure tools like Docker, Kubernetes, Terraform. Knowledge of data observability tools (Monte Carlo, Databand, etc.). Exposure to **ML pipelines** and model deployment. Solve challenging problems at the intersection of big data, real-time processing, and fintech. Lead impactful data initiatives at a rapidly growing startup. Collaborate with a world-class team of engineers, data scientists, and product leaders. Competitive compensation, equity, and benefits. Clear career growth opportunities in leadership and innovation. Perks That Go Beyond the Paycheck Relocation assistance for a smooth move. Free office meals (lunch & dinner). Generous leave policies (birthday, period, parental support, and more). Salary advances and loan policies for financial support. Quarterly rewards, recognition, and referral incentives. Access to the latest gadgets and tools. Comprehensive health insurance with mental health support. Tax benefits like food coupons, phone allowances, and leasing options. Retirement benefits including PF contribution, leave encashment, and gratuity. About FamApp FamApp focuses on financial inclusion for the next generation by offering UPI and card payments to users aged 11+. Our flagship product, FamX, integrates UPI and card payments seamlessly, helping users manage, save, and learn about their finances effortlessly. With over **10 million users**, FamApp is revolutionizing how young Indians transact eliminating the need to carry cash and offering customizable FamX cards with personal doodles for a fun, unique payment experience. Join Our Dynamic Team At Fam, we foster a people-first culture with flexible work schedules, generous leave, comprehensive health benefits, and mental health support. You ll be part of a passionate, talented, and fun team shaping the future of fintech for India s youth.

Position: Spare Parts Executive Location: Bangalore Employment Type: Full Time Experience Required: 5 8 Years Industry: Manufacturing / Engineering / Supply Chain Job Overview We are seeking a proactive and detail-oriented Spare Parts Executive to manage end-to-end operations for spare parts quotations, procurement, import coordination, and order fulfillment. The ideal candidate should have a solid background in parts handling, vendor coordination, import documentation, and customer communication. You will be a key link between suppliers, service teams, and customers, ensuring that spare parts are delivered efficiently and in compliance with timelines and regulatory standards. Key Responsibilities Handle incoming RFQs from customers and service engineers; provide accurate and timely quotations for spare parts. Process customer orders with a strong focus on precision, delivery timelines, and specifications. Coordinate with suppliers to: Check pricing and stock availability Negotiate payment and delivery terms Place purchase orders as needed Manage all import-related activities: Prepare and review import documentation Ensure compliance with import regulations, duties, and tariffs Coordinate with customs brokers to resolve clearance issues Monitor inventory and reorder levels to proactively meet customer demand and avoid stockouts. Maintain accurate records of RFQs, orders, supplier interactions, and stock transactions. Verify supplier invoices against ordered and received goods; resolve quantity or quality discrepancies swiftly. Communicate order status, delays, or changes clearly and proactively to customers and service teams. Continuously identify and implement improvements to streamline procurement and fulfillment workflows. Required Skills & Qualifications 5 8 years of experience in spare parts management, procurement, supply chain, or order coordination preferably in manufacturing or engineering services. Strong working knowledge of import/export regulations, documentation, and customs clearance. Experience in supplier negotiations and handling vendor communications. Proficiency in Microsoft Excel, ERP systems, and basic inventory management tools. Excellent communication and coordination skills. High attention to detail and ability to multitask in a deadline-driven environment. Strong problem-solving and decision-making capabilities. Competitive salary and performance incentives Health insurance and other employee benefits Dynamic and collaborative work environment Growth opportunities within operations and supply chain management Apply now to join a team committed to operational excellence and customer satisfaction.

Plant HR Executive / Generalist Location: Bengaluru Department: Plant HR Designation: Executive Experience: 3 to 4 Years Education: MSW / MBA (HR) Job Summary As a Plant HR Executive at Sansera Engineering, you will be responsible for supporting a wide range of HR activities within the manufacturing facility. This includes manpower planning, grievance handling, payroll coordination, compliance, and employee engagement. The role requires a hands-on HR professional who can balance administrative efficiency with employee-centric support. Key Responsibilities 1. Floating Manpower Management Manage timely recruitment and deployment of contract/floating manpower. Liaise with manpower agencies to ensure optimal workforce availability for all shifts. 2. Grievance Handling Serve as the first point of contact for contract employee issues. Address and resolve grievances in a timely, fair, and policy-compliant manner. 3. MIS Reporting Generate and maintain monthly reports on attendance, manpower, attrition, and recruitment. Support HR planning with data insights and dashboards. 4. Payroll Support Assist in attendance reconciliation, leave tracking, and overtime validation. Coordinate with the payroll team to ensure accurate and timely salary processing. 5. Facility Operations (Canteen, Transport & Security) Monitor and manage daily operations in coordination with service vendors. Ensure SLA adherence and address employee feedback related to these services. 6. Employee Engagement & Communication Organize engagement activities, cultural events, and welfare initiatives. Support the creation of an inclusive and motivated work environment. 7. General Administration Oversee housekeeping, stationery, and basic facility maintenance. Ensure compliance with safety, hygiene, and company policies. 8. Continuous Improvement (Kaizen) Encourage employee participation in Kaizen initiatives. Track and document implementation of improvement suggestions. Skills & Competencies Strong interpersonal and communication skills. Proficient in MS Office (Excel, Word, PowerPoint). Basic knowledge of labor laws, HR compliance, and statutory requirements. Effective problem-solving and coordination abilities. Ability to independently manage field-level and administrative responsibilities. Qualification : MSW / MBA (HR)

Position: Inside Sales Representative Employment Type: Full-time Location: Bangalore, On-site Experience Required: 1 to 5 years Job Summary: As an Inside Sales Representative, you will drive sales growth by identifying and engaging potential customers, primarily healthcare providers and organizations. Your role involves guiding prospects through the sales process and showcasing the value of our AI-powered teleradiology solutions to meet their needs. Key Responsibilities: Lead Generation: Proactively research, cold call, email, and use social media to identify and qualify potential customers. Customer Engagement: Understand prospect needs and pain points, presenting our AI teleradiology solutions effectively to demonstrate value. Sales Pipeline Management: Maintain an accurate and active sales pipeline in the CRM system, tracking progress toward targets. Product Knowledge: Gain thorough knowledge of our AI teleradiology products, industry trends, and competitors to communicate features and benefits confidently. Collaboration: Coordinate with sales, marketing, and customer success teams to align strategies and improve customer experience. Provide feedback to enhance sales materials and tactics. Negotiation & Closing: Manage the entire sales process from contact to contract, handling objections and securing new business. Customer Relationship Management: Build lasting client relationships, ensure satisfaction, and identify upselling or cross-selling opportunities. Required Qualifications: Bachelor s degree in Business, Marketing, Healthcare, or a related field. Proven inside sales experience, preferably in healthcare or technology. Knowledge of the healthcare market, particularly teleradiology and AI applications, is a plus. Excellent communication and interpersonal skills with strong relationship-building abilities. Results-driven with a history of meeting or exceeding sales targets. Proficient in CRM software (e.g., Salesforce) and other sales tools. Strong organizational skills and ability to manage multiple priorities. Self-motivated, proactive, and able to work independently and collaboratively. Benefits: Competitive salary with a performance-based sales incentive structure. Professional growth and development opportunities. Collaborative and innovative work culture. Opportunity to impact the healthcare industry positively.

Job Title: Customer Service Associate Voice Location: Bengaluru, India Company: IntouchCX Experience: 6 months 4 years Job Type: Full-time About IntouchCX IntouchCX partners with top global brands to provide high-quality customer experiences across voice, chat, email, and social media. Known for tech-driven support, the company values innovation, excellence, and creating meaningful customer connections. Job Overview As a Customer Service Associate Voice, your role is to: Interact with customers via calls, resolving their issues end-to-end. Offer empathetic, efficient, and solution-oriented support. Go the extra mile to ensure customer satisfaction and loyalty. Provide "white glove" service, representing the brand at the highest standard. Key Responsibilities Handle voice-based customer interactions and solve issues independently. Build rapport, identify problems, and provide appropriate resolutions. Keep customers informed about resolution timelines. Maintain a high level of professionalism, accuracy, and courtesy. Requirements Education: Post-secondary degree in any field Experience: 6 months 4 years in customer service (voice preferred) Skills: Fluent in spoken English Strong problem-solving and analytical skills High emotional intelligence and judgment Able to work in night shifts and under pressure Quick learner with a customer-first attitude Benefits Attractive salary with performance incentives Medical insurance Free food and transport (if working on-site) Learning & growth opportunities Employee engagement, rewards, and recognition programs Qualification : Post-secondary degree in any field

Job Title: Customer Service Associate - Non-Voice Location: Bengaluru, India Company: IntouchCX Experience: 6 months to 4 years Job Type: Full-time About IntouchCX IntouchCX partners with leading brands to deliver outstanding customer experiences across multiple channels voice, chat, email, and social media powered by advanced technology and a driven team. Role Overview As a Customer Service Associate - Non-Voice, you will: Handle customer support through email and chat, resolving technical and service issues. Build trust by empathizing and communicating clearly with customers in writing. Use advanced troubleshooting to provide tailored solutions. Give feedback to improve team services and processes. Manage customer communication during critical events and escalations. Skills & Qualifications 6 months to 4 years experience in customer service, including phone, email, or chat support Fluent in written English with excellent communication skills Experience in gaming or tech support is a plus Strong analytical, multitasking, and troubleshooting skills Self-motivated and eager to learn new technologies daily Team player with a passion for customer service and gaming Benefits Competitive salary with performance-based incentives Continuous learning and career growth opportunities Employee rewards and engagement programs Free food and transport for on-site shifts Comprehensive medical insurance

Job Title: Staff Machine Learning Engineer Location: Bengaluru, Karnataka, India Job Type: Full-Time (Hybrid Work Model) Experience Level: 6-10+ Years About Eightfold.ai: At Eightfold.ai, we re revolutionizing the way organizations find, manage, and empower talent. As a leader in AI-driven HR tech, our groundbreaking platform is transforming industries by using artificial intelligence to solve talent management challenges at scale. We are looking for exceptional engineers to join our team and be at the forefront of innovation in the field of AI. About the AI/ML Team: The AI/ML team at Eightfold is passionate about building cutting-edge solutions and pushing the boundaries of applied machine learning. We work with massive datasets and tackle complex, real-world challenges to develop state-of-the-art AI models. Our models are transforming how companies approach talent management, and we are looking for a Staff Machine Learning Engineer to help lead this journey. What You Will Do: As a Staff Machine Learning Engineer, you will play a critical role in leading and inspiring our ML team while architecting and implementing scalable, robust ML pipelines for our core products. Lead and Inspire: Mentor and guide a team of talented ML engineers, fostering a collaborative environment that encourages innovation. Architect and Implement: Design and build scalable ML pipelines that power Eightfold s core products. Innovate and Optimize: Develop novel algorithms and continuously enhance the performance, accuracy, and scalability of our models. Solve Complex Problems: Work on challenging real-world problems, including NLP, recommendation systems, and predictive analytics. Stay Ahead of the Curve: Research and implement cutting-edge techniques in deep learning, reinforcement learning, and other emerging fields. LLM & NLP Expertise: Design and implement scalable solutions using Large Language Models (LLMs), fine-tuning them for specific NLP tasks, and developing LLM-powered applications. What You Bring: Required Skills & Experience: Deep Expertise in ML & AI: Strong foundation in Machine Learning, Deep Learning, and Natural Language Processing (NLP) with a proven track record of developing and deploying ML models at scale. Technical Leadership: Experience leading and mentoring teams, with excellent communication and collaboration skills. Problem-Solving Mindset: Ability to analyze complex problems and develop innovative solutions. Passion for AI: Genuine enthusiasm for pushing the boundaries of AI and its real-world applications. Advanced Skills in Python & ML Frameworks: Proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch), along with experience in big data technologies like Hadoop and Spark. CS Fundamentals & Coding: Strong foundation in computer science fundamentals and coding languages (Python, C/C++, Java, Scala, R). GenAI & LLM Expertise: Experience in developing and deploying LLM-powered applications, with knowledge of LLM fine-tuning techniques, optimization strategies, and ethical considerations. Nice to Haves: 6-10+ years of experience in Machine Learning and AI. MS or PhD in Computer Science or related field. Publications in top-tier AI conferences. Contributions to open-source ML projects. Familiarity with Generative AI (GenAI), Transformers, and LLMs. Impactful Work: Play a pivotal role in shaping the future of AI and its applications in talent management. Innovative Environment: Work on cutting-edge projects with world-class experts in the field of AI/ML. Career Growth: Accelerate your career in a dynamic, fast-paced environment with abundant opportunities for professional growth. Hybrid Work Model: Embrace a flexible work environment with the ability to collaborate remotely and in-person at our Bengaluru or Noida offices twice a week starting February 1, 2024. Competitive Benefits: Comprehensive family medical, vision, and dental coverage, a competitive base salary, equity awards, and discretionary bonuses or commissions. How to Apply: If you're a passionate AI/ML engineer ready to take on challenging problems and make a meaningful impact, we d love to hear from you. Join Eightfold.ai and help shape the future of AI-powered talent intelligence! Qualification : MS or PhD in Computer Science or a related field

Engineering Leader - Machine Learning Location: Bangalore, Karnataka, India Employment Type: Full-Time | Hybrid Work Model About Eightfold.ai At Eightfold.ai, we re revolutionizing the future of employment by leveraging artificial intelligence to connect individuals to the right career opportunities based on their skills, not just their network. Our AI-powered Talent Intelligence Platform is transforming how organizations plan, hire, develop, and retain a diverse workforce. With $410M+ in funding and a $2B+ valuation, we re growing rapidly, and if you're passionate about solving one of society's most critical challenges employment then Eightfold is the place for you. Led by visionary leaders like Ashutosh Garg (former Google Search and Personalization leader) and Varun Kacholia (former Facebook and Youtube leader), we are shaping the future of AI-powered talent management. About the AI Platform Team Our AI/ML team is the heart of Eightfold, pushing the boundaries of applied machine learning. We re working with massive datasets, solving complex problems, and building cutting-edge AI models that are reshaping how companies approach talent management. Join us if you re eager to work in a team where every day presents a new challenge and opportunity. What You ll Do As the Engineering Leader - Machine Learning, you ll be responsible for leading and mentoring a high-performing team of engineers, driving the success of AI-driven products at Eightfold. Your primary responsibilities will include: Team Leadership: Coach, mentor, and manage a talented team of engineers to foster a culture of innovation, collaboration, and high performance. ML Model Ownership: Lead the development and deployment of cutting-edge deep learning models across all Eightfold products, ensuring reliability, scalability, and high-quality performance. Platform Development: Help build high-performance, flexible infrastructure that supports a variety of deep learning techniques and modeling approaches. End-to-End ML Pipeline: Oversee the end-to-end process of building and deploying machine learning models, including creating robust data pipelines that can process unstructured data. ML Framework Implementation: Design and implement an intuitive ML development framework that ensures efficiency and ease of use for data scientists and engineers. Model Fairness: Work with our internal model fairness platform to ensure that we are providing equal opportunity for everyone through responsible ML practices. Cross-Team Collaboration: Work closely with product teams to apply deep learning techniques to solve complex business problems across various domains. What You Should Already Know To be successful in this role, you should have: Strong Foundation in ML & Deep Learning: Expertise in applying Natural Language Processing (NLP) and deep learning solutions to solve real-world problems. Experience with Language Models: Familiarity with advanced language models such as BERT, GPT-3, T5, and others. Academic Background: A BS, MS, or PhD in Computer Science, Data Science, Mathematics, or related fields. Proven ML Experience: Hands-on experience building and deploying machine learning models at scale, particularly in production environments. Programming Expertise: Strong knowledge of ML languages such as Python, C++, Java, R, Scala, and experience with scientific libraries like numpy, pandas, and frameworks like TensorFlow, PyTorch, scikit-learn, etc. Strong ML Theory Knowledge: In-depth understanding of ML theory and experience working with large-scale datasets, data ingestion, and processing systems. Experience with Distributed Systems: Familiarity with distributed systems, including REST APIs, microservices, and data processing frameworks. Metrics-Focused: A passion for building high-quality models that deliver results and metrics-driven outcomes. Nice to Have Real-Time Tech Problems: Experience with real-time processing or low-latency systems. Cloud Environments: Familiarity with cloud platforms like AWS, and experience using cloud-based ML tools. MLOps Tools & Pipelines: Experience with MLflow, Metaflow, or similar tools to streamline ML workflows and operations. Advanced Tech Stack: Familiarity with tools like Spark, MLlib, Databricks, Apache Airflow, etc. Impactful Work: Join a company dedicated to solving one of society's most pressing issues employment. Your work will have a direct impact on individuals' careers around the world. Innovation at Scale: Work with cutting-edge AI and ML technologies to shape the future of talent management. Competitive Compensation: Receive an attractive salary, equity, and comprehensive benefits package (including family medical, vision, and dental coverage). Collaborative Environment: Work in a culture that values transparency, ownership, and collaboration across teams. Hybrid Work Model: Enjoy a hybrid work environment, with flexibility for remote work and in-office collaboration at our Bangalore office. Growth Opportunities: Be part of a rapidly scaling company with vast opportunities for career development and leadership roles. Equal Opportunity Employer Eightfold.ai is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability. If you are an experienced and visionary leader in Machine Learning, eager to make a lasting impact while solving one of society's most important challenges, we would love to hear from you. Qualification : BS or MS or PhD degree in Computer Science, Data Science or Mathematics

Lead Data Scientist Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company creating service intelligence products that are transforming industries such as high-tech devices, manufacturing, and medical devices. Backed by top Silicon Valley venture capitalists and an esteemed group of angel investors, we are recognized as a startup to watch. Our AI-driven platform helps enterprises make accurate service decisions at scale by delivering service predictions in seconds. By analyzing structured and unstructured data, alongside insights from leading experts, we empower service leaders to improve key metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you'll be part of a dynamic and innovative team that is redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. Our goal is to lead the AI revolution in service decision-making, and we want you to be a part of that journey. About the Team As a Lead Data Scientist, you ll play a pivotal role in designing, developing, and deploying NLP-driven solutions for processing and analyzing large volumes of unstructured data. Your deep technical expertise will help launch AI products that directly impact users. You ll also mentor junior team members, ensuring technical excellence and fostering growth within the team. You'll collaborate closely with cross-functional teams and customers to solve complex challenges and create impactful AI solutions. What You ll Do: Lead NLP Development: Oversee the development and deployment of NLP-based solutions for processing and analyzing unstructured data at scale. Machine Learning Model Development: Design, train, and optimize machine learning models using popular libraries such as PyTorch, NLTK, and Scikit-learn. Cloud Deployment: Architect and deploy AI/ML products on cloud platforms such as Azure, GCP, or AWS. Collaboration: Work with data engineering teams to ensure seamless integration of AI models into production systems. Data Analytics: Perform advanced SQL analytics to extract actionable insights from structured datasets. Mentorship: Guide and mentor junior data scientists, fostering a culture of technical excellence within the team. Customer Engagement: Work closely with customers to understand their needs and translate those into technical solutions. Communicate complex technical concepts to non-technical stakeholders. Stay Current: Keep up-to-date with the latest advancements in NLP and machine learning to ensure best practices and cutting-edge solutions are applied. What We re Looking For: Experience: Minimum 10 years of experience in data science, specifically focused on NLP and unstructured data processing. Track Record: Proven experience in launching NLP-driven products to live users. Technical Expertise: Expertise in Python and libraries such as PyTorch, NLTK, and Scikit-learn. Hands-on experience with Transformer-based models (e.g., BERT, GPT). Cloud Proficiency: Strong experience with cloud platforms like Azure, GCP, or AWS for hosting and deploying AI/ML products. Data Engineering Knowledge: Familiarity with data engineering pipelines and best practices for scalable AI model deployment. SQL Proficiency: Proficient in SQL for data manipulation and advanced analytics. Problem-Solving: Excellent problem-solving skills with a strong ability to work with large-scale datasets. Leadership & Communication: Strong interpersonal and communication skills, with the ability to mentor team members and interact effectively with customers. Preferred Skills: MLOps Knowledge: Understanding of MLOps practices for model deployment, monitoring, and lifecycle management. Data Processing Tools: Familiarity with tools like Airflow, Spark, or similar frameworks for data processing. Customer-Facing Experience: Background in working with customer-facing applications and APIs to deliver AI-powered solutions. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making using advanced AI technology, and we are committed to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Hybrid work model with flexibility to work from our vibrant Bengaluru office Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about building innovative AI-driven solutions and want to be part of a forward-thinking team, we d love to hear from you!

Senior Data Engineer Location: Bengaluru, India Employment Type: Full-time, On-site About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is revolutionizing the world of service intelligence. Backed by leading Silicon Valley venture capitalists and a distinguished group of angel investors, we are recognized as a startup to watch. Our AI-driven platform delivers service predictions in seconds by analyzing structured and unstructured data, alongside insights from top experts. We specialize in complex service environments like high-tech devices, manufacturing, and medical devices, empowering service leaders to optimize key metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you will be part of a dynamic, innovative team that is pushing the boundaries of service intelligence. We value creativity, collaboration, and a relentless commitment to innovation. This is your chance to join a fast-growing startup and help redefine how AI impacts the future of service optimization. About the Role We are building a real-time analytics platform to improve uptime of connected devices and minimize maintenance costs. This involves collecting, analyzing, and leveraging large volumes of sensor data for observability and predictive analytics. As a Senior Data Engineer, you will have the opportunity to build and maintain scalable, high-performance data systems using modern data engineering tools. The ideal candidate will have hands-on experience with Python, Scala, ELT processes, Lakehouse architecture, Apache Spark, Databricks, real-time streaming systems like Kafka and Flink, and observability tools such as the ELK stack, Prometheus, and Grafana. What You ll Do: Data Model Development: Design and implement advanced data models to extract insights from complex datasets. Collaborative Problem Solving: Work with cross-functional teams to devise data-driven solutions for service optimization. Experimental Analysis: Conduct experiments and analyses to enhance service predictions and outcomes. Actionable Insights: Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts. Mentorship: Guide and mentor junior team members, fostering a collaborative and knowledge-sharing environment. What We re Looking For: Experience: At least 4 years of hands-on experience in data engineering, with a focus on building large-scale data systems. Data Pipeline Expertise: Strong proficiency in Python and Scala for developing data pipelines. Big Data Tools: Proven experience with Apache Spark and Databricks for big data processing and analytics. Observability Tools: Hands-on experience with observability tools like Prometheus, Grafana, and the ELK stack or OpenSearch. Real-Time Data Streaming: Experience working with real-time streaming systems such as Kafka and Flink. Cloud Platforms: Familiarity with cloud platforms like Azure, GCP, or AWS. Problem-Solving Skills: Strong analytical and problem-solving abilities to work with complex data systems in fast-paced environments. Collaboration: Excellent communication and teamwork skills, with the ability to work effectively with cross-functional teams. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to leverage advanced AI technology to enhance service decision-making and we are dedicated to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Flexible work arrangements work from home or from our vibrant Bengaluru office Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about using data to drive service intelligence and want to be part of a forward-thinking team, we d love to hear from you!

Lead Software Engineer - Backend Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is redefining service intelligence. Backed by top-tier venture capitalists in Silicon Valley and a distinguished group of angel investors, we are recognized as a startup to watch. Our AI-driven platform helps enterprises make accurate service decisions at scale by delivering service predictions in seconds through the analysis of structured and unstructured data. We work across industries, including high-tech devices, manufacturing, and medical devices, enabling service leaders to excel in critical metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you ll be part of an innovative and dynamic team that is shaping the future of service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. This is your chance to make an impact in a fast-growing startup and work with cutting-edge technology. About the Team As a Lead Software Engineer - Backend, you will play a crucial role in architecting, developing, and optimizing backend systems for our groundbreaking products. You will lead a talented team, collaborating across functions to deliver scalable and high-performance systems. As a leader, you ll also mentor and guide junior engineers to help them grow in their careers. What You ll Do: Backend Systems Design: Lead the design and implementation of scalable, reliable, and high-performance backend systems. Distributed Systems: Develop and optimize distributed systems to handle large-scale traffic and data. System Architecture: Lead the architecture and design of critical components, ensuring robust and efficient solutions. Code Development: Write clean, maintainable, and efficient code that powers our AI-driven platform. Cross-Functional Collaboration: Work closely with product managers, frontend engineers, and other stakeholders to deliver end-to-end solutions. Troubleshooting & Debugging: Solve complex production issues and implement reliable, performance-optimized solutions. Mentorship: Provide guidance and mentorship to junior and mid-level engineers, fostering a collaborative environment. Continuous Learning: Stay updated on the latest trends and advancements in backend development, AI, and distributed systems. What We re Looking For: Experience: Minimum 10 years of professional experience in backend development, with at least 4 years of experience in AI, NLP, or ML. Programming Skills: Expertise in one of the following programming languages: Java, Python, or Golang. Distributed Systems: Proven experience in building and maintaining distributed systems at scale. Cloud Platforms: Familiarity with at least one major cloud platform (Azure, AWS, or GCP). System Design: Strong understanding of system design, architecture patterns, and data structures. Database Knowledge: Experience with relational and NoSQL databases. API Development: Proficiency in developing RESTful APIs and microservices. Security & Performance: Solid understanding of security best practices and performance optimization in backend systems. Problem-Solving Skills: Strong analytical skills with a proven track record of solving complex engineering challenges. Communication: Excellent communication skills with the ability to collaborate across teams and interact with non-technical stakeholders. Preferred Skills: Containerization: Experience with Kubernetes, Docker, or other containerization tools for scalable deployment. Messaging Systems: Familiarity with Kafka, RabbitMQ, or similar messaging systems for real-time data processing. CI/CD: Knowledge of CI/CD pipelines and automation tools to ensure efficient development and deployment. Data Pipelines: Familiarity with data pipelining frameworks such as PySpark, Flink, or similar for real-time processing. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making through advanced AI technology, and we are dedicated to delivering excellence in every aspect of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Work from home or from our vibrant Bengaluru office with hybrid work arrangements Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re excited about building innovative backend solutions and want to work with cutting-edge technologies in a forward-thinking team, we d love to hear from you!

Job Title: HR Operations Specialist Location: Bengaluru, Karnataka, India About CloudSEK CloudSEK is a leading cybersecurity product company that combines cutting-edge Artificial Intelligence and Machine Learning to offer the world s fastest and most reliable solutions for detecting and resolving digital threats in real-time. Since our inception in 2015, CloudSEK has grown rapidly, expanding across India, Southeast Asia, and the Americas, while consistently driving innovation in the cybersecurity industry. Our product suite includes CloudSEK XVigil, BeVigil, and SVigil, providing real-time threat analysis, attack surface monitoring, and software supply chain risk management. We re proud to be recognized with multiple industry awards and accolades, including the NASSCOM-DSCI Excellence Award and NetApp Excellerator's Best Growth Strategy Award. About the Role: HR Operations Specialist We are seeking a dynamic and experienced HR Operations Specialist to join CloudSEK s fast-paced and rapidly growing startup environment. As an integral member of our HR team, you will manage and enhance HR processes, ensuring that all HR initiatives align with the company s goals and contribute to a positive, productive work culture. This is a unique opportunity to make a significant impact on the growth and success of CloudSEK through strategic HR management. Key Responsibilities Performance Management & Employee Engagement: Lead and manage the Performance Management process, driving performance effectiveness across teams. Champion various HR initiatives related to Rewards and Recognition, Employee Development, and Engagement programs. Design and implement policies and programs to enhance employee engagement and productivity. HR Policy & Compliance: Formulate and implement HR policies and procedures in collaboration with HR leadership, ensuring compliance with labor laws and company objectives. Regularly evaluate and update policies to ensure they meet the evolving needs of the organization. Payroll, Audits & Compliance: Support payroll processing, audit procedures, and ensure compliance with all relevant HR-related laws and regulations. Bridge management-employee relations by addressing grievances, concerns, and demands from both sides, ensuring transparency and trust. End-to-End Employee Lifecycle Management: Manage the entire employee lifecycle, including HRMS management, exit processes, and ENPS (Employee Net Promoter Score) surveys. Maintain pay plans and benefits programs, ensuring they align with industry standards and employee satisfaction. Strategic HR Support: Support business needs by driving HR strategies that develop, engage, and retain top talent. Partner with leadership to design and implement HR programs that align with CloudSEK s mission and values. Requirements 3+ years of experience in HR operations, ideally in a fast-paced startup or growth environment. People-oriented and results-driven with the ability to foster relationships at all levels of the company. Demonstrable experience using HR tools like HRMS and Performance Management systems. In-depth knowledge of HR metrics, labor laws, and HR best practices. Strong ability to architect HR strategies, coupled with leadership skills to drive execution. Excellent skills in active listening, negotiation, presentation, and interpersonal communication. A degree in Human Resources or a related field. A self-driven, detail-oriented individual who thrives in a fast-paced environment and enjoys building systems that support growth and engagement. Ability to handle sensitive information with discretion and professionalism. A passion for employee well-being and driving a positive company culture through strategic HR practices. Benefits of Joining CloudSEK Flexible working hours to support work-life balance. Unlimited snacks, food, and beverages in the office to keep you energized throughout the day. A vibrant, collaborative office environment with games, music, and creative activities to unwind. A competitive salary and a comprehensive benefits package, including opportunities for personal and professional growth.

Engineering Manager - Backend Location: Bangalore, Karnataka | Department: Tech About the Team At Meesho, where 5% of Indian households shop, our tech team builds highly scalable backend systems to handle millions of daily orders with zero downtime. That s the engineering excellence powering our rapid growth. We prioritize speed, autonomy, and a growth mindset, with a strong culture of ownership through our Founder s Mindset philosophy. Our team is passionate, collaborative, and supportive. Whether we re solving high-impact problems or unwinding over chai and books, we believe in working hard and having fun. If you're excited to build impactful solutions in a fast-paced environment, come join us. About the Role We re seeking a seasoned Engineering Manager - Backend to lead high-performing backend engineering teams. You ll drive technical excellence, deliver scalable systems, and mentor engineers across multiple projects. With a hands-on background in distributed systems, databases, cloud infrastructure, and team leadership, you ll play a pivotal role in defining how Meesho scales its backend platforms. What You Will Do Design and assign technical tasks aligning with Meesho s backend architecture guidelines. Manage a team of software engineers; mentor and conduct regular performance reviews. Monitor progress across multiple projects; conduct sprint reviews and track OKRs. Collaborate cross-functionally with product, sales, and design to deliver innovative backend solutions. Own product scalability, system performance, and engineering efficiency. Plan and report engineering deliverables with regular updates and documentation. What You Will Need Bachelor s or Master s degree in Computer Science or related field. Minimum 7+ years of backend development experience with 2+ years in engineering management. Proficient in Java or Python and multithreading programming paradigms. Strong understanding of transactional and NoSQL databases like MySQL, PostgreSQL, MongoDB, etc. Expertise in Kafka or other messaging systems. Experience managing cloud infrastructure (AWS or GCP). Bonus: Familiarity with Elasticsearch, data pipelines, or real-time data processing. Hands-on experience building large-scale, distributed backend systems. Excellent team-building and leadership skills; ability to mentor junior and senior engineers alike. About Us Meesho is India s leading social commerce platform, redefining online shopping for the next billion users. With over 1.75 million sellers and industry-first benefits like zero commission and the lowest shipping costs, we are empowering small businesses to thrive online. Our unique model serves the underserved and first-time online buyers across tier-2+ cities, making commerce affordable, inclusive, and hyperlocal. We are the first Indian horizontal e-commerce company to achieve this scale. Our Mission Democratizing internet commerce for everyone that s our mission. From helping 100 million small businesses go digital to reaching every serviceable pincode in India, we aim to make Meesho Meri Shop for every Indian. Culture & Total Rewards We foster a people-first, performance-driven culture rooted in our 11 guiding principles our Mantras. These values shape everything from recognition to feedback loops and internal growth. Our rituals like Reflections, Listen or Die, and our Internal Mobility Program bring our culture to life every day. We Offer: Market-leading compensation competitive salary, equity, and bonuses. Health & wellness MeeCare program with extensive medical coverage, mental health support, wellness events, and gym benefits. Generous leave policies including parental support, vacation, and sick leave. Learning and development access to programs, mentorship, and tools to grow your career. Relocation & flexible benefits salary advances, relocation assistance, and customizable plans. Employee recognition performance-based rewards, gratitude gifts, and a vibrant, engaging workplace. Qualification : Bachelors or Masters degree in Computer Science or related field.

Engineering Manager Platform Engineering Location: Bangalore, Karnataka | Department: Tech About the Team At Meesho, we support 5% of Indian households with high-scale e-commerce solutions and we do it with zero downtime. We value speed over perfection, embrace failures as learning opportunities, and empower teams with a Founder s Mindset. As part of the Platform Engineering team, you ll be building resilient, low-latency, high-throughput systems that serve millions of users daily. We invest in the growth of every engineer through continuous feedback, open communication, and a supportive culture. And yes we know how to party as hard as we code. About the Role We are looking for a skilled Engineering Manager Platform Engineering to lead a team responsible for designing, scaling, and optimizing our core infrastructure. This role involves managing large-scale distributed systems, fostering engineering excellence, and collaborating across teams to drive innovation. You ll ensure technical quality, delivery speed, and scalable architecture for all projects under your ownership. What You Will Do Design and allocate technical tasks while maintaining Meesho s engineering standards. Own execution of platform projects from inception to deployment, ensuring scalability and reliability. Conduct regular 1:1s, drive feedback cycles, and support career growth of engineers. Partner closely with Product and Design teams to develop new platform capabilities. Coach engineers on best practices for architecture, performance, and scalability. Monitor project health, sprint progress, and engineering KPIs. Foster a high-performing team culture with strong engineering ownership. What You Will Need Bachelor s or Master s degree in Computer Science or a related technical field. 8+ years of professional software development experience, including 1+ year in team management. Proven experience building large-scale distributed systems. Strong coding skills in Java, Python, or Go, and multithreading expertise. Deep understanding of messaging systems (Kafka, etc.), transactional and NoSQL databases. Experience working on cloud platforms like GCP or AWS. Exceptional communication, leadership, and stakeholder management skills. Good to have: Exposure to Elasticsearch, data pipelines, or stream processing systems. About Us Meesho is India s leading e-commerce platform built for the next billion users. With 1.75M+ sellers and a customer base spread across every serviceable pin code, we are democratizing internet commerce by enabling small businesses to sell online at zero commission and with the lowest logistics costs in the industry. From affordable products that reflect local demand to a robust pan-India tech infrastructure, Meesho is transforming how India shops and sells online. Our Culture & Total Rewards At Meesho, we believe in creating a culture of impact, inclusion, and innovation. Our values reflected in 11 guiding principles or "Mantras" shape how we work, collaborate, and grow together. Why You ll Love Working Here: Compensation: Competitive salary with equity-based rewards tailored to your experience and impact. Wellness: Extensive health insurance for you and your family through our MeeCare Program, mental wellness support, gym discounts, and more. Flexibility & Leave: Generous time off, parental benefits, and relocation support. Growth & Learning: Continuous learning through workshops, internal mobility, and performance coaching. Culture of Recognition: Personalized gifts, fun rituals, and regular engagement programs celebrating wins big and small. Join us to build the platform powering the future of digital commerce in India. Apply now and be part of a tech-first, people-driven journey at Meesho. Qualification : Bachelors or Masters degree in Computer Science or a related technical field.

Machine Learning Engineer Full-Time - Bengaluru, India - Data Science / Artificial Intelligence / Engineering Join our dynamic Data Science / Artificial Intelligence / Engineering team in Bengaluru, India as a Full-Time Machine Learning Engineer and play a key role in driving data-driven innovation! We are seeking a skilled and results-oriented Machine Learning Engineer to design, build, and deploy scalable machine learning models that address real-world business challenges. You will collaborate closely with data scientists, engineers, and product managers to transform raw data into actionable insights and integrate intelligent features into our products. As a Machine Learning Engineer, you will be responsible for the complete lifecycle of machine learning models and pipelines, from design and development to seamless deployment for a variety of applications. This includes classification, regression, clustering, recommendation systems, and time-series forecasting. You will leverage your expertise to preprocess and analyze large and complex datasets, extracting meaningful features and valuable insights. Collaboration with cross-functional teams will be crucial as you identify strategic ML opportunities and define clear success metrics. A key aspect of this role involves optimizing machine learning models for peak performance, scalability, and accuracy within production environments. You will build robust APIs or efficient microservices to integrate these models seamlessly into our applications, utilizing tools such as Flask or FastAPI. Continuous improvement is paramount, and you will be responsible for the ongoing monitoring and retraining of models based on their performance and any signs of data drift. Staying at the forefront of the field is essential, and you will be expected to stay updated with the latest ML research and emerging technologies, applying them to continuously enhance our product capabilities. Key Responsibilities: Design, develop, and deploy machine learning models and pipelines for diverse applications including classification, regression, clustering, recommendation, and time-series forecasting. Preprocess and analyze large datasets to extract meaningful features and actionable insights. Collaborate effectively with cross-functional teams to identify strategic ML opportunities and define clear success metrics. Optimize models for maximum performance, scalability, and accuracy in production environments. Build robust APIs or efficient microservices to integrate ML models into applications using tools like Flask or FastAPI. Continuously monitor and retrain models based on performance metrics and potential data drift. Stay updated with the latest ML research and technologies and apply them to enhance product capabilities. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. 2+ years of proven experience as a Machine Learning Engineer or in a similar role. Strong proficiency in Python and key ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch. Practical experience working with both SQL and NoSQL databases. Solid knowledge of essential data preprocessing, effective feature engineering, and robust model evaluation techniques. Familiarity with standard software engineering practices, including version control (Git), thorough code reviews, and efficient CI/CD pipelines. Preferred Qualifications: Prior experience with deep learning, natural language processing (NLP), or computer vision. Familiarity with major cloud services like AWS, GCP, or Azure (especially SageMaker, Vertex AI, etc.). Understanding of modern MLOps tools and practices (e.g., MLflow, Kubeflow, DVC). Practical experience with containerization and orchestration tools (Docker, Kubernetes). Knowledge of big data tools (e.g., Spark, Hadoop) is considered a significant plus. What We Offer: Competitive salary and performance-based incentives to reward your contributions. Comprehensive health insurance and valuable wellness benefits to support your well-being. Dedicated learning and development programs for continuous professional growth. Exciting opportunities to work on impactful, real-world AI/ML projects with significant scale. A collaborative, inclusive, and innovative work culture that fosters teamwork and creativity. Flexible working hours and a hybrid work model to promote a healthy work-life balance.

Job Title: Data Engineer Location: Bengaluru, Karnataka Experience: 5 to 8 Years Work Modality: Full-time (Work from office) Job Description: We are looking for an experienced Data Engineer to join our team and take responsibility for designing, developing, and maintaining scalable ETL/ELT pipelines. This is a full-time position based in Bengaluru, Karnataka, and you will be collaborating with cross-functional teams to define data requirements and ensure data accuracy, consistency, and integrity. Your role will also involve optimizing data workflows, automating processes, and ensuring high availability and reliability of data pipelines. Key Responsibilities: ETL/ELT Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines to support data transformation and integration processes. Data Warehouse & Data Lake Optimization: Build and optimize data warehouses, data lakes, and real-time streaming solutions to support large-scale data operations. Collaboration & Data Requirements: Collaborate with cross-functional teams, such as product, data science, and analytics teams, to define data requirements and ensure data accuracy and consistency. Database Structure & Schema Management: Develop and maintain database structures and schemas to ensure efficient data storage and retrieval. Data Workflow Optimization: Optimize data workflows for performance, reliability, and scalability, ensuring the highest level of efficiency. Data Security & Compliance: Implement data security, governance, and compliance best practices to ensure that data is handled securely and meets industry standards. Pipeline Monitoring & Troubleshooting: Monitor, troubleshoot, and improve data pipelines to ensure uptime, reliability, and smooth data processing. Process Automation: Automate data-related processes to improve efficiency and reduce manual intervention, increasing the overall speed of data flow. Required Qualifications: Experience: 5+ years of experience in data engineering or 3-4 years of experience as a Data Engineer. Technical Skills: Strong proficiency in SQL and database management systems such as PostgreSQL, MySQL, SQL Server, etc. Experience with ETL tools such as Pentaho, Talend, Cdata, and SSIS. Exposure to Python, Java, or Scala for data processing is a plus. Experience with big data technologies such as Apache Spark, Hadoop, or Kafka. Familiarity with cloud services (AWS, Azure) and data storage solutions such as S3, Redshift, Snowflake, or BigQuery. Strong knowledge of data modeling, warehousing concepts, and data architecture best practices. Soft Skills: Excellent communication skills with the ability to collaborate effectively across teams. Strong problem-solving skills and the ability to work with large, complex datasets. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Collaborative Work Environment: Work in a dynamic and fast-paced environment with a team that fosters innovation and collaboration. Growth Opportunities: Opportunities to enhance your skills and career growth in the data engineering field. Comprehensive Benefits: Benefits package designed to support work-life balance and overall employee well-being.

Job Title: AI/ML Engineer (LLM-driven Products) Location: Bengaluru, Karnataka Experience: 3+ years Work Modality: Full-time (Work from office) Job Description: We are seeking an AI/ML Engineer to help develop LLM-driven products from the ground up. The ideal candidate will have a strong programming background and experience working with Transformer architecture to design cutting-edge AI systems. If you're passionate about implementing scalable AI solutions and driving innovation, we would love to have you join our team! As part of the team, you will work on transformer models like BERT, GPT, T5, and other small LLMs for Natural Language Processing (NLP) and Computer Vision tasks. You will have the opportunity to work on impactful AI solutions that are designed to scale globally. Key Responsibilities: LLM Product Development: Design and develop products powered by large language models (LLMs), ensuring they meet the technical requirements and scale for global deployment. Model Fine-tuning & Optimization: Fine-tune transformer models for tasks such as text classification, summarization, image generation, and recognition. Implement optimization techniques to accelerate model performance, including GPU optimization and model quantization. AI Solutions Implementation: Translate AI research into actionable product features, ensuring AI models are implemented effectively to solve real-world problems. Collaboration & Communication: Work closely with cross-functional teams to integrate AI models and solutions into larger products. Communicate complex technical concepts to non-technical stakeholders. Model Deployment: Deploy models using frameworks like Flask, FastAPI, or through cloud-based inference services. Data Preprocessing & Training: Engage in data preprocessing and feature engineering to improve the performance of AI models. Required Qualifications: Experience: 3+ years of hands-on experience in AI/ML, specifically working with Transformer-based models like BERT, GPT, T5, ViTs, or small LLMs. Technical Skills: Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. In-depth understanding of Transformer architecture and its applications in NLP (text classification, summarization) and Computer Vision (image generation, recognition). Experience in deploying models using frameworks like Flask, FastAPI, or cloud-based inference services. Familiarity with GPU acceleration, model optimization, and model quantization. Proficient in data preprocessing, feature engineering, and training workflows. Analytical Skills: Ability to independently analyze open-source code repositories and leverage existing models for further optimization. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Innovative Work Environment: Work on cutting-edge AI and machine learning solutions with the opportunity to shape innovative products. Career Growth: Opportunities to advance your career in AI/ML and work with a team of passionate professionals. Comprehensive Benefits: A benefits package designed to support your overall well-being and work-life balance.

Job Description: MEP Manager Experience: 4+ Years Qualification: B.TECH (Mandatory), M.TECH (Preferred) Job Description: We are seeking an experienced MEP Manager with at least 4 years of experience to manage and oversee Mechanical, Electrical, and Plumbing (MEP) works in various construction projects. The ideal candidate will have strong knowledge of MEP drawings and works, excellent project management and coordination skills, and experience in planning, scheduling, and managing material procurement. The role requires someone who has completed at least three projects, including residential and commercial buildings, and is capable of managing all phases of MEP works. Key Responsibilities: Project Management: Lead MEP operations for construction projects, ensuring timely delivery of work across all stages. Oversee and manage the MEP team to ensure adherence to project timelines, budgets, and quality standards. Handle the complete process from planning, coordination, and execution of MEP activities to final handover. MEP Drawings and Works: Ensure strong knowledge of all MEP-related drawings and coordinate their execution. Prepare and review MEP shop drawings and obtain necessary approvals from clients and authorities. Monitor and manage all MEP works, including electrical, mechanical, and plumbing systems, ensuring they align with the design specifications. Tender Analysis and Worker Orders: Analyze the tender Bill of Quantities (BoQ) and worker orders, ensuring accurate estimation and cost management for MEP systems. Planning & Scheduling: Create and manage project schedules in MSP (Microsoft Project), ensuring the timely execution of tasks at each stage of the project. Monitor the progress of MEP works, identifying potential delays, and implementing corrective actions when necessary. Material Management: Prepare material requisitions and manage procurement processes. Ensure proper material tracking, handling, and inventory management, reducing wastage and delays. Documentation & Reporting: Prepare and maintain project documentation, including MIR (Material Inspection Reports), RPI (Request for Inspection), ECR (Engineering Change Requests), DPR (Daily Progress Reports), DLR (Daily Log Reports), and other critical documents. Review and track method statements, micro work schedules, cash flow statements, and other documents as required. Approval and Certification: Prepare and submit client bills for certification, ensuring timely processing and approval. Liaise with clients and vendors to ensure smooth project execution and approval of materials and works. Coordination: Coordinate with other departments and project teams, ensuring the timely completion of all tasks and proper integration of MEP systems with other construction activities. Handle communication with client teams, subordinates, vendors, and project management office (PMO) teams. Leadership and Communication: Provide leadership and guidance to subordinates, ensuring high team performance and adherence to project goals. Act as the primary point of contact for all MEP-related issues, ensuring effective communication and collaboration across the project team. Qualifications and Skills: Experience: Minimum 4 years of experience as an MEP Manager, with a proven track record of completing and handing over at least 3 projects (1 residential + 1 commercial). Technical Skills: Expertise in all MEP drawings and works, with hands-on experience in planning, scheduling, and executing MEP systems. Proficiency in MS Office, CAD, and MSP (Microsoft Project) for planning and scheduling. Strong analytical skills for reviewing tenders, BoQs, worker orders, and material management. Documentation and Compliance: Experience in preparing and reviewing various project documents such as MIR, RPI, ECR, DPR, DLR, JMS, Pre-commissioning & Post-commissioning reports, and handling method statements. Communication Skills: Excellent communication skills to interact with various stakeholders, including clients, subordinates, vendors, and project management teams. Qualification: A B.TECH degree is mandatory. M.TECH is preferred. Other Skills: Ability to mentor and manage teams effectively. Strong organizational and multitasking abilities. Ability to work under pressure and meet project deadlines. What We Offer: Competitive salary and benefits. Opportunity to work on high-profile construction projects. A collaborative work environment focused on innovation and continuous improvement. Qualification : A B.TECH degree is mandatory. M.TECH is preferred.

Job Description: Electrical Manager Experience: 3+ Years Qualification: B.TECH (Mandatory), M.TECH (Preferred) Job Description: We are seeking an experienced Electrical Manager with at least 3 years of experience to oversee the electrical works for construction projects. The ideal candidate will have a deep understanding of electrical drawings, materials management, and project planning. The role involves managing all stages of electrical works, from planning and scheduling to execution and handover. The candidate should have completed and handed over at least two projects, including one residential and one commercial project. Key Responsibilities: Electrical Project Management: Lead the electrical team and manage electrical works for construction projects. Oversee the planning, coordination, and execution of all electrical works, ensuring they align with project specifications and timelines. Monitor and manage electrical works for both residential and commercial projects. Electrical Drawings and Works: Possess a strong knowledge of electrical drawings and works, ensuring their proper execution. Review and prepare electrical shop drawings for approval, and ensure timely submission of samples for technical approval. Tender Analysis and Worker Orders: Analyze the Tender Bill of Quantities (BoQ) and worker orders to ensure accurate estimation and cost management for electrical works. Planning & Scheduling: Create and manage electrical project schedules using MSP (Microsoft Project), ensuring efficient and timely completion of tasks at each project stage. Monitor progress and implement corrective actions when necessary to avoid delays. Material Management: Prepare and manage material requisitions and procurement processes for electrical works. Ensure proper material handling, tracking, and inventory management. Documentation & Reporting: Prepare and maintain various project documentation such as MIR (Material Inspection Reports), RPI (Request for Inspection), ECR (Engineering Change Requests), DPR (Daily Progress Reports), DLR (Daily Log Reports), and other important documents. Create and review method statements, micro work schedules, cash flow statements, and other documentation related to the electrical works. Approval and Certification: Prepare and submit client bills, ensuring that they are certified in a timely manner. Coordinate with clients and vendors to ensure that all approvals are obtained as needed. Coordination: Collaborate with other project teams to ensure the smooth integration of electrical systems with other construction works. Coordinate with vendors, PMO teams, and clients to ensure timely and successful project completion. Communication and Leadership: Provide leadership and guidance to the electrical team, ensuring high-quality work and adherence to project timelines. Exhibit excellent communication skills to interact effectively with clients, subordinates, vendors, and PMO teams. Qualifications and Skills: Experience: Minimum 3 years of experience as an Electrical Manager in the construction industry. Proven experience in completing at least two projects (one residential and one commercial). Technical Skills: Strong knowledge of electrical drawings and works, with the ability to review and approve shop drawings. Proficiency in MS Office, CAD, and MSP (Microsoft Project) for planning and scheduling electrical works. Documentation & Compliance: Experience in preparing and reviewing project documentation such as MIR, RPI, ECR, DPR, DLR, JMS, and other critical documents. Project Management: Experience in planning and scheduling electrical works, monitoring project progress, and ensuring timely completion. Familiarity with material management, procurement processes, and cost estimation. Communication Skills: Strong communication skills to interact with clients, vendors, subordinates, and other project stakeholders. Ability to lead a team and ensure seamless coordination between different departments. Qualification: A B.TECH degree in Electrical Engineering is mandatory. M.TECH is preferred. Other Skills: Strong problem-solving abilities and attention to detail. Ability to work under pressure and manage multiple tasks effectively. What We Offer: Competitive salary and benefits. Opportunity to work on diverse and high-profile construction projects. A collaborative and growth-oriented work environment. Qualification : A B.TECH degree in Electrical Engineering is mandatory. M.TECH is preferred.