Principal Data Scientist With NLP Expertise Jobs in Gurgaon

Position: Infrastructure Engineer - SQL, Oracle, Sybase Location: Gurgaon Department: IT / Infrastructure Employment Type: Full-Time Company: GSPANN Technologies Job Description: GSPANN is looking for a skilled Infrastructure Engineer with deep expertise in SQL, Oracle, and Sybase databases. The successful candidate will design, optimize, and maintain enterprise database environments ensuring high performance, robust security, and data integrity. Role and Responsibilities: Design, implement, and manage enterprise databases using MySQL, Oracle Database, and Sybase platforms. Optimize database performance by employing techniques such as indexing, partitioning, and query optimization. Troubleshoot and resolve query-related and performance issues to maintain smooth database operations. Implement database backup, recovery, and disaster recovery processes to safeguard data. Develop and maintain database security policies, managing user roles, permissions, and access controls. Collaborate with development teams to understand database requirements and deliver efficient solutions. Document database architectures, configurations, operational procedures, and technical protocols. Monitor database performance and scalability to ensure reliability and efficiency. Evaluate emerging database technologies and incorporate updates as needed. Provide guidance on process accountability, data monitoring, and exception handling to improve data quality. Work with cross-functional teams to optimize business processes through automation and simplification. Utilize data conversion tools and techniques to assist with data migration and transformation initiatives. Skills and Experience: Bachelor s or Master s degree in Computer Science, Information Technology, or a related discipline. Relevant certifications in Oracle, MySQL, or Sybase are preferred. 6 to 8 years of experience in infrastructure engineering with hands-on expertise in MySQL, Oracle, and Sybase databases. Strong SQL programming skills and deep understanding of database management system principles. Proven experience in query debugging, performance tuning, and troubleshooting. Excellent analytical, problem-solving, and communication skills. Familiarity with data migration and transformation processes and tools. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related discipline.

Job Title: Senior Data Engineer Location: Gurugram, Haryana, India Company: Builder.ai About Builder.ai At Builder.ai, we re transforming software development so that anyone regardless of technical expertise or budget can bring their software ideas to life. From startups to global enterprises like BBC, Makro, and Pepsi, we ve empowered thousands of customers around the world. With over $450M in Series D funding, including backing from Microsoft and QIA, and recognition from Fast Company as one of 2023 s Most Innovative Companies in AI, we are scaling rapidly and redefining what s possible in software and AI. Life at Builder.ai We believe in experimentation, ownership, and constant improvement. Our team of 800+ is spread across the globe but united by our shared HEARTT values: Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency. We reward your skills with: Stock options in a hyper-growth company International offsites Unlimited learning opportunities A culture that values diversity, innovation, and impact About the Role As a Senior Data Engineer, you'll be a foundational part of our growing Data & Analytics team. We're not just building pipelines we're engineering the data backbone for an entire platform that powers AI-driven software creation, operational intelligence, and customer solutions. This role will focus on building robust, scalable, and efficient data systems, and working with Data Scientists, Analysts, and Software Engineers to ensure our data infrastructure is best-in-class. What You ll Be Doing Own and operate end-to-end data pipelines across critical business domains Optimize compute, storage, and query performance using modern big data technologies Manage and evolve our CI/CD workflows and data infrastructure Improve data accuracy, integrity, and reliability for mission-critical datasets Collaborate with cross-functional teams (Analytics, AI, Product) to deliver business value Drive best practices in data engineering, architecture, and tooling Lead projects independently while clearly communicating with stakeholders on timelines and expectations Mentor junior data engineers and contribute to a strong data culture Must-Have Experience: Expert in ETL orchestration tools (e.g., Dagster, Airflow, Luigi) Proficient in SQL databases (e.g., Snowflake, PostgreSQL) Deep understanding of big data systems (e.g., Spark, Hadoop, Hive) Strong programming in Python Experience with DBT and data modeling best practices Deep experience with cloud platforms (especially Azure) Familiarity with streaming data systems (e.g., Kafka, Kinesis) Exposure to MLOps and experience delivering clean, usable datasets to AI/ML teams Experience with CI/CD and Agile environments Nice to Have: Background in ML infrastructure or knowledge graphs Experience working in product-led B2B/SaaS organizations Contributions to open-source data tools What You ll Get Quarterly discretionary performance pay Stock options in a $450M-funded scale-up 24 days annual leave + public holidays 2 Builder Family Days + Christmas/New Year break Fully covered private medical insurance Free lunch at our Gurugram HQ Referral bonus scheme Trips abroad and global collaboration Why You Should Join If you re ready to build world-class data systems that power AI at scale, and want to help shape how software will be built in the future this is your moment. Apply today and transform the way software is created one data pipeline at a time.

Principal Engineer - Backend (Java) Location: Gurugram, Haryana, India Employment Type: Full-time About ixigo ixigo is a leading technology company in the Indian travel space, enabling smarter travel decisions for millions of users through AI, machine learning, and data science innovations. Founded in 2007 by Aloke Bajpai and Rajnish Kumar, ixigo powers platforms like ixigo, ConfirmTkt, and AbhiBus, helping travelers plan, book, and manage their journeys across rail, air, bus, hotels, and more. As of 2022, ixigo was named among the Top 10 Most Downloaded Travel Apps worldwide, according to data.ai. Headquartered in Gurugram, ixigo also has offices in Bangalore and Hyderabad. Job Description As a Principal Engineer at ixigo, you will play a critical role in the design, planning, development, and deployment of our software applications. You will be responsible for building highly scalable, multi-tier, and distributed server software applications, ensuring their performance, stability, and overall quality. This role requires you to lead, own, and drive projects from concept to deployment, working closely with product managers, designers, and quality teams. If you're a hands-on engineer with a passion for building impactful products and solving complex problems, this is the role for you! Key Responsibilities Product Development: Design, develop, and architect features for existing applications, ensuring scalability, performance, and reliability. Own product modules end-to-end, ensuring that features are delivered on time, with high quality and performance. System Architecture & Performance: Design and implement highly scalable, multi-tier, distributed server applications with a focus on performance, scalability, and availability. Identify, troubleshoot, and resolve issues related to performance, stability, and memory management, using tools like Instruments and Shark. Collaboration: Collaborate with cross-functional teams including Tech, Design, and Quality to build and launch products that meet business objectives. Work directly with developers and product managers to conceptualize, build, test, and release new features. Continuous Improvement: Continuously evaluate new technologies and frameworks to maximize development efficiency and performance. Ensure that best practices are followed across the development life cycle, from design to release and maintenance. Qualifications Required Skills Experience: 5-8 years of professional experience in backend development. Expertise in Java/J2EE technologies. Technical Proficiency: Strong understanding of Java/J2EE, design patterns, and advanced data structures. Proficient in working with relational databases like MySQL or Postgres. Experience with MongoDB, Web services, and REST APIs. Performance & Scalability: Solid experience in designing systems for performance, scalability, and availability. Skilled in memory management, multithreaded programming, and performance optimization using tools like Instruments and Shark. Additional Skills (Good to Have): Familiarity with Python, NodeJS, Redis, and ElasticSearch is a plus. Experience with e-business or e-commerce applications is highly desirable. Experience working in the travel industry or with internet companies will be an advantage. Education: Undergraduate degree in Computer Science, Engineering, or related fields (preferably from IITs/Top RECs). Behavioral Traits Strong leadership skills with the ability to manage and mentor junior engineers. Ability to work effectively in a fast-paced, dynamic, and informal startup environment. High energy level, self-motivation, and a commitment to driving team goals. Excellent problem-solving and communication skills. Strong interpersonal skills and the ability to work in a collaborative team environment. Impactful Work: Lead critical product features that impact millions of travelers. Innovation Culture: Work in a dynamic environment that fosters innovation, creativity, and collaboration. Career Growth: Accelerate your career in a fast-growing tech company. Competitive Compensation: Attractive salary and benefits package. Work-Life Balance: A supportive and flexible work environment. Qualification : Undergraduate degree in Computer Science, Engineering, or related fields (preferably from IITs/Top RECs).

Senior Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 6-8 Years About FinBox FinBox is a cutting-edge fintech company that is reshaping how financial services are provided to businesses and consumers. Since our launch in 2017, we ve developed some of the most innovative technologies in the financial services space, enabling lenders such as Banks, NBFCs, and large enterprises to create and launch credit products in just days. As a Series A-funded company, we are expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build the best-in-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set new standards in the era of digital finance. We've helped our clients disburse billions of dollars in credit, covering a wide range of unsecured and secured products like personal loans, business loans, mortgages, and education loans. We ve made a significant impact, supporting over 100 companies and serving millions of customers every month. Why You Should Join FinBox: Innovative Environment: We foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what s possible in fintech. Impactful Work: Your work will directly influence millions of lives by making credit more accessible to individuals and businesses. Growth Opportunities: As a Series A-funded startup, we offer numerous opportunities for professional development and career advancement. Collaborative Culture: Be part of a diverse, inclusive team of experts who are passionate about making a difference and supporting each other. Role Overview: As a Senior Data Scientist at FinBox, you will work at the intersection of data and business, helping to deliver impactful solutions in the lending space. You will be responsible for analyzing large datasets, extracting meaningful insights, and applying advanced data science techniques to improve products and drive business results. Key Responsibilities: Data Analysis & Insights Generation: Analyze big data to produce actionable insights that directly contribute to product improvements and business outcomes. Model Building & Experimentation: Develop and deploy algorithms to extract useful information from large datasets. Use statistical analysis and machine learning techniques to create predictive models. Data Visualization & Reporting: Create interactive dashboards and visualizations to help monitor key metrics and inform stakeholders. Automate report generation using data visualization tools. Collaborate with Teams: Work closely with business teams to translate customer requirements into problem definitions and develop algorithmic solutions to address business challenges. Data Processing & Pre-processing: Gather, clean, and preprocess relevant data for insight generation and model building. Present Complex Results: Distill complex analysis into simple, clear visualizations and explanations for stakeholders at all levels. Apply Data Science Techniques: Use techniques such as exploratory data analysis (EDA), regression analysis, decision trees, clustering, survival analysis, and more. Continuous Improvement: Apply iterative analytics to steer the continuous improvement of products and algorithms. Who You Are: Analytical Thinker: You have strong analytical skills and a passion for deriving actionable insights from complex data. Technical Proficiency: Proficient in Python, R, SQL, and Excel. Familiarity with AWS and Git is highly preferred. Data Science Knowledge: Solid understanding of statistical concepts, machine learning models, and algorithms. Knowledge of data science tools and techniques for large-scale data analysis. Data Visualization Expert: You can create clear and impactful visualizations to communicate findings effectively. Problem Solver: You thrive on tackling ambiguous problems and developing innovative solutions that directly impact the business. Collaborative: You enjoy working in a team environment and are able to translate technical concepts into business-friendly language for diverse audiences. Desired Qualifications: 6-8 years of experience in data science with a focus on machine learning and statistical modeling. Expertise in Python, R, SQL, and Excel for data analysis and visualization. Experience with AWS, Git, and other cloud-based technologies. Solid understanding of statistical concepts, machine learning algorithms, and model deployment. Experience with data visualization tools and creating dashboards. Ability to effectively communicate complex results to non-technical stakeholders. Innovative Culture: At FinBox, we love disruption and creativity. Here, you can take ownership and contribute ideas that directly impact our product and the industry. Global Impact: Work on high-impact projects with global customers, improving access to credit for millions. Career Growth: FinBox offers a fast-paced, dynamic environment where you can rapidly grow your career. Collaboration & Diversity: Join a team of talented, passionate people who value collaboration and diverse perspectives. If you re ready to make a real difference in fintech and enjoy solving complex problems with data science, apply now to be part of the FinBox team!

Principal Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 8-11 Years About FinBox FinBox is at the forefront of transforming the financial services industry with our innovative technologies. Since our inception in 2017, we have empowered lenders, such as Banks, NBFCs, and large enterprises, to build and launch credit products quickly within days rather than months or years. As a Series A funded company, we re expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build world-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set a new standard in digital finance. We've already helped our customers disburse billions of dollars in credit across unsecured and secured credit, including personal loans, working capital loans, business loans, mortgages, and education loans, impacting over 5 million customers every month. Why You Should Join FinBox: Innovative Environment: We cultivate creativity and experimentation. We want you to challenge the status quo and push boundaries in fintech. Impactful Work: Your contributions will have a direct, positive impact on millions of lives, making credit more accessible to individuals and businesses globally. Growth Opportunities: As a Series A-funded startup, FinBox provides tremendous opportunities for career development and professional growth. Collaborative Culture: Join a diverse, inclusive, and highly skilled team, all passionate about making a meaningful difference in the fintech world. Role Overview: As a Principal Data Scientist at FinBox, you will play a critical role in driving data science initiatives and shaping the direction of data-driven decision-making. You will leverage your deep expertise in machine learning and statistics to design and deploy predictive models, optimize algorithms, and lead experimentation processes that directly impact our products and business strategies. You will work closely with cross-functional teams to translate business requirements into data-driven solutions and collaborate on deploying models at scale. Key Responsibilities: Data Analytics & Insights: Analyze large, complex datasets to generate insights that drive business growth and measure the impact of business decisions. Model Development & Experimentation: Design, build, and deploy predictive models, using machine learning techniques such as regression, clustering, decision trees, and survival analysis. Algorithm Development: Optimize algorithms to process data efficiently, supporting better decision-making across the business. A/B Testing & Experimentation: Lead A/B testing and other experimentation methodologies to refine products and optimize business strategies. Data Visualization & Reporting: Create automated dashboards and reports using visualization tools like Tableau or Power BI to clearly communicate insights to stakeholders. End-to-End Data Processing: Manage the full lifecycle of data processing from gathering and cleaning data to creating models and deploying them in production. Stakeholder Collaboration: Collaborate with product, engineering, and business teams to translate business needs into data-driven solutions. Model Deployment: Ensure that machine learning models are effectively deployed at scale and optimized for real-time business applications. Who You Are: Experience: 8+ years of experience in data science, with a proven track record in the finance or fintech industry. Technical Expertise: Strong proficiency in Python, R, SQL, and Excel for data analysis, model development, and automation. Cloud & Version Control: Proficiency in AWS for cloud-based deployment and Git for version control. Advanced Data Science Skills: Expertise in statistical methods and machine learning techniques including regression, clustering, decision trees, bootstrapping, and survival analysis. Data Visualization: Extensive experience with data visualization tools like Tableau, Power BI, or open-source libraries (e.g., Matplotlib, Seaborn). Problem Solving & Communication: Strong problem-solving skills with the ability to distill complex models into actionable insights for business stakeholders. Deployment Experience: Experience in deploying and maintaining machine learning models at scale, focusing on automation, real-time analytics, and continuous improvement. Innovative Culture: Join a team that is dedicated to pushing the boundaries of what is possible in fintech, with an environment that fosters creativity and experimentation. Global Impact: Your work will directly influence the future of financial services, helping millions of customers access fair and accessible credit. Career Growth: As a growing startup, FinBox offers substantial opportunities for personal and professional growth. Collaborative Team: Work with a team of talented, driven professionals who believe in collaboration, inclusivity, and shared success.

Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 3-6 Years About FinBox: Where Fintech Meets Fun! Welcome to FinBox, where technology, innovation, and creativity meet to revolutionize financial services. Since our inception in 2017, we've been on a mission to transform the lending industry by helping lenders like Banks, NBFCs, and enterprises launch credit products faster than ever before. As a Series A funded company, we are growing rapidly with offices in India, Vietnam, Indonesia, and the Philippines. Our vision is to build world-class infrastructure for lending products that help banks and financial services companies scale globally. We've already helped customers disburse billions of dollars in both unsecured and secured credit, and our solutions are used by over 100 companies, impacting over 5 million customers monthly. Innovative Environment: We encourage creativity and experimentation, pushing the boundaries of what's possible in fintech. Impactful Work: Your contributions will directly impact the lives of millions, making credit more accessible. Growth Opportunities: As a growing Series A startup, we offer ample opportunities for professional development. Collaborative Culture: Join a diverse and supportive team that values different perspectives. Creative Thinkers: We love people who challenge the norm and bring fresh, out-of-the-box ideas. Customer Heroes: We need those who understand customer needs and go above and beyond to deliver exceptional experiences. Team Players: If you thrive in a collaborative environment and believe in the power of "we," you'll fit right in. How You'll Contribute to Our Data Science Team: Analyze structured and unstructured data to derive meaningful insights. Support predictive model development and statistical analyses to guide product decisions. Build dashboards and visualizations to monitor and report key business metrics. Assist in data gathering, pre-processing, and cleaning to maintain high-quality datasets. Conduct exploratory data analysis and hypothesis testing to enable data-driven decision-making. Automate reports and develop clear, effective data visualizations. Document data processes and findings in a structured, presentable format. Collaborate with cross-functional teams to translate business needs into actionable data-driven solutions. Apply foundational machine learning techniques, including regression analysis, clustering, and decision trees. Who You Are: Experience: 3+ years in data science, analytics, or a related field. Technical Skills: Strong proficiency in Python/R, SQL, and Excel for data manipulation and analysis. Visualization: Experience with tools like Tableau, Power BI, or similar for data visualization. Additional Skills: Familiarity with AWS, Git, and version control practices is a plus. Knowledge: Understanding of statistical concepts and basic machine learning models. Mindset: Eagerness to learn, experiment, and grow in a fast-paced, dynamic startup environment.

Job Title: Associate Data Scientist - Social Media Analytics About this Role: Join Gartner s Social Media Analytics team, where you will help generate actionable insights from social media and internal/external Gartner data. This role is perfect for someone passionate about learning new technologies, text analytics, and working with unstructured data. As an Associate Data Scientist, you'll analyze data, draw recommendations, and visualize insights for research, using NLP, Machine Learning, and Deep Learning techniques. You will work closely with stakeholders to optimize data mining and improve the accuracy of insights generated. What You ll Do: Execute High-Impact Data Science Projects: Translate research objectives into actionable data and facts using social media and Gartner's internal/external data. Ad-hoc Modeling and Analytical Insights: Provide modeling and analytical insights to inform strategic and operational initiatives. Analyze Unstructured Data: Use advanced data science techniques to analyze unstructured text data, identifying insights and patterns. Interpret and Apply Findings: Align findings with business objectives and translate them into actionable business insights. Solve Business Challenges: Leverage Data Science, ML, and NLP to address pressing business challenges. Stakeholder Interaction: Collaborate with internal and external stakeholders to refine and improve findings. Data Science Driven Initiatives: Drive initiatives with some guidance while building strong domain expertise. Multi-tasking & Agility: Handle different projects in a fast-paced environment with strict SLAs and tight turnaround times. What You ll Need: Education: A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science. Experience: 1-3 years of hands-on AI/ML experience, especially in Text Mining, NLP, and text analytics. Technical Skills: Expertise in Python (Pandas, Numpy, scikit-learn), SQL, TensorFlow, and other data science tools. Familiarity with AWS/Azure environments for training, testing, or deploying models. Machine Learning & NLP Knowledge: Ability to train, fine-tune, or apply ML, Deep Learning, LLMs, and NLP models. In-depth knowledge of NLP concepts and application experience. Data Preparation Skills: Expertise in data cleaning, normalization, and preparation for model training or inference. Analytical Mindset: Strong ability to identify patterns in unstructured datasets and provide actionable insights. Communication Skills: Strong written and verbal communication with the ability to structure clear, concise, and meaningful communication. Critical Thinking & Problem-Solving: Strong analytical skills and the ability to think independently to solve complex problems. Eagerness to Learn: A passion for learning about new technologies in the IT industry, Data Science, and Machine Learning. Research Techniques Understanding: Robust understanding of primary and secondary research methods. What We Offer: Flexible Hybrid Work Environment: Flexibility to work virtually when productive and meet colleagues in person for engaging, purposeful collaboration. Professional Growth: Gartner offers world-class benefits, competitive compensation, and tremendous rewards for top performers. Inclusive Work Culture: Diverse teams from various backgrounds and an environment that values collaboration and team success. Recognition as a Top Workplace: Gartner is consistently recognized as a great place to work worldwide. Join Gartner and contribute to world-class insights while developing cutting-edge technologies in the data science domain. We offer opportunities to grow, thrive, and make an impact! Qualification : A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science.

About Shiprocket: At Shiprocket, we are on a mission to simplify, democratize, and enhance e-commerce. We empower sellers with AI-driven technology and reliable services that encompass everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform leverages data, workflows, and scalable supply chains to equip sellers with everything they need to deliver a delightful customer experience. What It s Like to Work at Shiprocket: At Shiprocket, we embody a unique culture driven by the following success traits, helping us accomplish great things and strive to be a great place to win: Innovation Through Constraints: Learn to work under constraints and use them to fuel innovation. Speed Above All Else: Make decisions based on impact and act quickly. Ruthless Frugality: Being frugal can lead to significant growth. Direct & Honest Communication: We value transparency and candor. A Sports Team, Not a Family: We re here to win together. Customer Obsession: Your priority is always the customer. Role Overview: Shiprocket is looking for a highly driven Performance Marketing Lead to take charge of our performance marketing initiatives across the platform s suite of products. You ll spearhead the strategy and execution of high-impact campaigns, harnessing AI/ML to optimize performance, automate tasks, and unlock new growth opportunities. This role involves exploring new channels and staying ahead of industry trends to scale performance marketing efforts effectively. Key Responsibilities: Campaign Development & Execution: Design and implement high-impact performance marketing campaigns across a variety of channels, including Google Ads, Meta Ads, Affiliates, and emerging platforms like TikTok Ads and programmatic advertising. Innovative Strategies: Continuously experiment and innovate with new channels and technologies to improve campaign performance, including influencer marketing and other emerging trends. AI/ML Optimization: Leverage AI/ML tools to automate tasks, optimize campaign performance, and achieve better results. Customer Insights: Analyze user behavior, track customer journeys, and monitor market trends to inform marketing strategies and improve campaign targeting. Data-Driven Decision Making: Use data analysis to track key metrics, generate insights, and drive performance improvements. Cross-Functional Collaboration: Partner closely with product, engineering, sales, and customer success teams to align marketing strategies with business objectives and ensure cohesive execution. Budget Management: Manage marketing budgets effectively, track ROI, and optimize ad spend to achieve maximum return on investment. Industry Expertise: Stay up-to-date with industry trends, best practices, and the competitive landscape to inform strategy and maintain Shiprocket s competitive edge. Team Leadership: Build, mentor, and grow a high-performing team of performance marketing specialists, ensuring the team stays ahead of the curve in campaign execution. Preferred Skills & Qualifications: Experience: 4+ years of experience in performance marketing, ideally within a fast-paced startup environment. Track Record: Proven success in managing high-volume, high-impact performance marketing campaigns, both independently and as a team lead. Analytical Expertise: Strong analytical skills, with the ability to analyze data, derive insights, and make data-driven decisions. Advertising Platform Expertise: Extensive experience with Google Ads, Meta Ads, and other major advertising platforms. AI/ML Tools: Experience using AI/ML-powered marketing tools, such as Google Ads Smart Bidding or Facebook Ads+. Emerging Channels: Familiarity with emerging marketing channels and new technologies that drive campaign innovation. Growth Mindset: A passion for learning, adapting, and overcoming challenges. Communication Skills: Excellent communication, collaboration, and presentation abilities to work cross-functionally and present ideas clearly. Educational Background: Bachelor s degree in Marketing, Business, or a related field. Bonus Points: New Channels: Experience in unlocking and experimenting with new, untested marketing channels. AI/ML Success: Demonstrated success in using AI/ML to optimize marketing campaigns and enhance performance. Qualification : Bachelors degree in Marketing, Business, or a related field.

HVAC Design Engineer About Jacobs At Jacobs, we challenge today to reinvent tomorrow. We tackle the world s most critical challenges by shaping thriving cities, resilient environments, operational advancements, scientific discoveries, and cutting-edge manufacturing. Our mission is to transform ideas into reality, making the world smarter, more connected, and more sustainable. As the largest professional services provider to the pharmaceutical and biotechnology industries, we specialize in clean manufacturing, specialized facilities, research and development laboratories, and data centers. Our expertise enables us to deliver solutions that help our clients produce life-changing products. Your Impact The world needs innovators and problem solvers who transform challenges into opportunities. At Jacobs, we push the boundaries of what s possible fostering innovation, collaboration, and sustainable solutions. In this role, you will support HVAC design and Revit modeling for Data Center, Industrial, Pharmaceutical, and FMCG projects. You will contribute your expertise in HVAC systems design, ducting, piping, and controls to ensure high-quality project execution. Key Responsibilities Perform detailed heat load calculations to ensure optimal HVAC system performance. Assist in HVAC equipment selection based on project requirements. Design and model ducting, piping, and HVAC controls using Revit. Develop detailed HVAC layouts, schematics, and technical drawings. Collaborate with engineers, architects, and other disciplines to ensure seamless integration. Ensure compliance with industry standards, safety guidelines, and project specifications. Qualifications & Experience Diploma/ITI in Mechanical or related discipline. 5 12 years of experience in HVAC Revit modeling. Experience in Data Centers, Industrial, Pharma, or FMCG projects (preferred). Strong expertise in HVAC system design, ductwork, piping, and controls. Proficiency in Revit MEP for 3D modeling and drafting. Ability to work independently and collaboratively in a multidisciplinary team environment. At Jacobs, we believe in fostering an inclusive and supportive work culture. We offer: Flexible Work Arrangements A balance between professional and personal commitments. Global Collaboration Work alongside industry experts across the world. Career Growth & Learning Opportunities Training programs and career development initiatives. Diverse & Inclusive Environment A workplace where everyone is empowered to succeed. Making an Impact Contribute to projects that make a real difference in the world. Join Jacobs and be part of a company where your expertise helps build a better future. Qualification : Diploma/ITI in Mechanical or related discipline.

Lead Engineer Fire & PHE About Jacobs At Jacobs, we are committed to challenging today to reinvent tomorrow. We solve the world s most critical challenges by transforming abstract ideas into innovative realities that drive thriving cities, resilient environments, mission-critical outcomes, operational advancements, scientific discoveries, and cutting-edge manufacturing. Your Impact As a Lead Engineer Fire & PHE, you will be responsible for designing and implementing Fire Suppression, Process Drainage, and Plumbing Systems for industrial projects, including: Pharmaceutical Facilities FMCG Industries Data Centers Electric Vehicle Manufacturers & Battery Plants Paint & Industrial Projects This role requires expertise in fire protection, plumbing, and process drainage systems, ensuring compliance with industry codes and standards while delivering high-quality, safety-driven designs. Key Responsibilities Fire Suppression System Design Design and specify fire suppression systems, including: Wet-pipe, dry-pipe, pre-action, deluge systems Fire pumps and storage tanks Knowledge of special fire protection systems, such as: Foam, spray, mist, clean agent, wet/dry chemical, and carbon dioxide systems (preferred) Perform hydraulic calculations and coordinate with external vendors for special hazard systems. Prepare technical data sheets and material requisitions. Ensure compliance with industry codes and standards (IS, NBC, NFPA, ISO, ASME). Collaborate with clients, multi-disciplinary teams, and stakeholders to develop a clash-free design. Review 3D models (Navisworks) and provide feedback. Conduct field inspections, review contractor shop drawings, and oversee testing & commissioning reports. Provide technical coordination with contractors and site teams, resolving RFIs (Requests for Information). Process Drainage & Plumbing System Design Design Process Drainage Systems for Bio Waste, Sterile, High & Low TDS, and Steam Condensate Drainage Systems to prevent backflow and contamination. Translate P&ID diagrams into drainage layouts, coordinating with Process Teams & Vendors. Develop Plumbing Drainage (Internal & External), Water Supply, Sewerage, Stormwater, and Rainwater Harvesting Systems. Design underground sewerage and stormwater systems, including STP (Sewage Treatment Plants) & WTP (Water Treatment Plants). Establish water demand, sizing, and storage locations for process buildings. Select and size hot water systems, grease traps, and organic waste converters. Perform water distribution sizing (Cold & Hot Water) and space planning for water & sewage treatment plants. Create detailed drawings, BOQs (Bill of Quantities), and technical documentation. Ensure regulatory compliance with IS, NBC, IBC, NFPA, IPC, UPC, and CPHHEO manuals. Conduct quality checks on 2D/3D modeling for process drainage & plumbing deliverables. Oversee testing, commissioning, and vendor data incorporation. Lead plant design activities, collaborating with structural, electrical, architectural, and process teams. Manage scope, budget, and schedule to meet project deadlines. Technical Skills & Competencies Proficiency in AutoCAD & Navisworks (Essential) Experience with SmartPlant 3D, Civil 3D, REVIT, Bluebeam (Preferred) Knowledge of AutoPIPE, AutoCAD Plant 3D (Added Advantage) Ability to design multi-disciplinary systems per industry codes and best practices Strong problem-solving, coordination, and project management skills Qualifications & Experience Education: B.E./B.Tech in Civil or Mechanical Engineering (or a related discipline) from a recognized institution. Experience: 12-15 years of experience in a Design Consultancy or Contractor Role (Essential). Strong expertise in fire protection, plumbing, and process drainage design for industrial projects. At Jacobs, we offer a dynamic and growth-oriented environment where you can: Work on global, industry-leading projects. Develop your career through continuous learning and upskilling. Collaborate with highly skilled professionals across disciplines. Enjoy a flexible work culture, competitive benefits, and career advancement opportunities. At Jacobs, we empower you to shape the future. Be part of a world where your expertise drives innovation and transformation. Qualification : B.E./B.Tech in Civil or Mechanical Engineering (or a related discipline) from a recognized institution.

Job Title: Cloud Target Operating Model Consultant Location: Gurgaon About Capgemini Invent: Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, a global business line that combines market-leading expertise in strategy, technology, data science, and creative design. We help CxOs envision and build what s next for their businesses, focusing on delivering impactful solutions and driving sustainable change. Your Role: As a Cloud Target Operating Model Consultant, you will be responsible for designing and implementing cloud operating models that deliver innovation, agility, cost benefits, and faster time-to-market. You will work with clients to modernize their business operating models by focusing on multiple dimensions such as process, governance, skills, culture, tooling, technology, and organization. You will leverage and maximize clients existing IT investments and communicate with stakeholders at all levels of the organization to design and implement sustainable transformation strategies. Key Responsibilities: Design and implement cloud operating models to ensure innovation, agility, and cost-effectiveness. Take a holistic approach to modernize business operating models, covering processes, governance, tools, and organization. Integrate business operating models with cloud operating models. Lead the design, implementation, and management of cloud centers of excellence. Advise on the implementation of DevSecOps models, automation, and business change processes. Work with hybrid and multi-cloud environments, DevOps, CI/CD, and cloud strategy implementations (AWS, Azure, or GCP). Develop security and governance models for cloud engineering and operations. Drive IT and business automation across product management, engineering, and operations. Apply ITIL and service management principles to optimize operations. Your Profile: Experience working on at least one end-to-end Cloud Target Operating Model engagement. Solid understanding of Cloud Target Operating Models. Project experience in multiple areas such as Cloud Strategy, Business Case, DevOps, FinOps, etc. Proven ability to deliver advisory engagements, driving positive outcomes and opportunities for future work. Leadership experience in delivering large-scale, complex IT transformations aligned to clients strategic goals. Experience in implementing DevSecOps models and automation. Familiarity with hybrid and multi-cloud environments and cloud service models. What You ll Love About Working Here: We recognize the significance of flexible work arrangements. Whether remote work or flexible work hours, you will find the support to maintain a healthy work-life balance. At Capgemini Invent, your career growth is at the heart of our mission. Our wide range of career growth programs will help you explore a world of opportunities. Equip yourself with valuable certifications in the latest technologies, including Generative AI. About Capgemini: Capgemini is a global business and technology transformation partner, helping organizations accelerate their transition to a digital and sustainable world, creating a tangible impact for enterprises and society. With a global team of 340,000 members across more than 50 countries, Capgemini is trusted by clients to unlock the value of technology. Capgemini delivers end-to-end services and solutions, leveraging capabilities in AI, cloud, and data, combined with deep industry expertise. The Group reported 22.5 billion in global revenues for 2023.

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field

About the role: Global Sales Strategy & Operations (GSSO) is the team that helps shape Gartner's mission-critical sales priorities and works with sales leaders to drive tactical and analytical insights. As an associate on the GSSO team, you'll be at the forefront of the ongoing transformation of Gartner's sales force, which delivers approximately $4.9B in annual revenue and working to drive sustained double-digit growth. You will partner with business leaders across Gartner to support a global sales force comprised of more than 5,000 associates who sell to every major function, industry and market sector around the world. This role is part of the Territory Planning & Analytics (TP&A) team in GSSO. The TP&A team is focused on designing the optimal territory investment, design and alignment strategy to maximize Sales (and Services) productivity. The Principal Specialist will be joining the New Assignment Team. The primary objective of this team is to ensure that accounts are validated and routed to the appropriate sales representative based on secondary research into company firmographic data. The Principal Specialist is expected to partner with various key stakeholders like Marketing, Sales & Strategy Operation and Sales teams and improve their understanding of complex business problems from diverse perspectives. The individual will also be working on key initiatives, where they will be responsible for gathering business problems, seeking input from relevant stakeholders, and driving solutions. What you will do: Data Analysis and Reporting Support: Develop, track, and report various process metrics using MS Office tools, Power BI, Macros, etc. Ensure data integrity by identifying discrepancies and regularly updating datasets. Provide ad-hoc data requirements critical for business decisions. Manage data tools and internal applications including Anaplan, Excel, Power BI, CRM, etc. Business-Critical Account Assignment Operations: Support the leadership team in executing process changes and conducting related training sessions with the larger team. Drive high-complexity projects with minimal guidance. Independently own and execute assigned workstreams. Collaborate with leadership to establish and report performance goals that align with Sales & Strategy Operational goals. Develop and maintain tools, resources, and training materials, contributing to knowledge capture and documentation. Service Delivery: Understand key operational metrics of the account assignment process and support the team in delivering efficient and effective results. Understand sales and marketing strategies to assist with appropriate business decisions that drive team performance. Perform quality checks on account assignments based on defined routing logic and data sources, and identify improvement opportunities at both individual and process levels. Analyze the root cause of misassignments escalated by Sales or Marketing teams and problem-solve to ensure fixes. Communicate effectively and efficiently with Sales Managers and Sales Representatives, providing swift and accurate responses and resolutions. What you will need: An MBA or bachelor s degree with 4 years of experience. Relevant marketing/client management or service operations experience preferred. Strong Microsoft office skills, especially Excel and Power Point. Knowledge of Power BI/Macros is a plus. Proficient in English language and excellent in verbal and written communication A strong mix of Thought leadership and business acumen and demonstrated track record of delivering outstanding results. Must have continuous improvement mindset and experience in driving business critical initiatives in the current role. Must have the ability to work effectively and efficiently in a very fast-paced, deadline driven, fluid team environment. Ability to prioritize workload in order to manage time effectively, complete work within deadlines and produces accurate results. What you will get: Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) Collaborative, team-oriented culture that embraces diversity. Professional development and unlimited growth opportunities Qualification : An MBA or bachelors degree with 4 years of experience. Relevant marketing/client management or service operations experience preferred.

Senior Backend Engineer / Tech Lead Location: Gurugram, India Type: Full-Time Experience: 6 9 Years Category: Technology About Investwell Investwell (Excel Net Solutions Pvt. Ltd.) is India s leading enterprise software platform for financial advisors. Our product suite powers lakhs of daily transactions and enables top financial advisors across the country to guide investors toward achieving their financial goals. If you're passionate about building scalable systems that impact millions, this is your opportunity to shape the future of investing in India. Role Overview We re looking for a Senior Backend Engineer / Tech Lead to join our growing technology team. You will lead backend development initiatives, work on performance-critical services, and contribute to designing highly available, scalable systems. You ll also mentor team members, lead system architecture efforts, and ensure that our platforms run reliably and efficiently. Key Responsibilities Team Leadership: Lead and mentor a team of backend engineers, review code, and ensure best engineering practices. System Design: Architect scalable, secure, and maintainable backend systems. Service Development: Build and maintain RESTful APIs using Node.js and Express.js. Performance Optimization: Ensure sub-second server response times and optimize backend performance. Database Management: Design and manage MySQL, with working knowledge of MongoDB and Elasticsearch data stores effectively. Cloud Infrastructure: Deploy and monitor cloud-based services; ensure system reliability and uptime. Messaging & Indexing: Implement messaging queues and indexing mechanisms for real-time data flows. Technical Communication: Present architectural designs, participate in sprint planning, and collaborate with cross-functional teams. Required Skills & Qualifications 6 9 years of backend development experience with expertise in Node.js, Express.js, and JavaScript. Strong background in system architecture, API design, and complex problem solving. Proficiency in MySQL, with working knowledge of MongoDB and Elasticsearch. Solid understanding of data modeling, caching, and asynchronous processing. Bachelor's degree in Computer Science or equivalent professional experience. Familiarity with DevOps tools, cloud environments, and CI/CD pipelines is a plus. Strong analytical, debugging, and performance tuning skills. Preferred Skills Experience with Python, Java, or additional backend languages. Knowledge of containerization tools (e.g., Docker, Kubernetes). Hands-on experience with message brokers (e.g., RabbitMQ, Kafka). Perks & Benefits 5-day work week with flexible timings. Group medical insurance coverage up to 3 Lakhs for all permanent employees. Fun, collaborative work environment with regular team activities. Complimentary consultations with financial planners for your personal financial journey. Resources and mentorship to help you get started with your own investments. At Investwell, you ll be part of a mission to make quality financial planning accessible to everyone. You ll work with a high-impact team, solve real-world scalability challenges, and play a key role in shaping the future of fintech in India. Qualification : Bachelor's degree in Computer Science or equivalent professional experience.

Job Title: Computer Vision Researcher Diffusion Models (Generative AI) Location: Gurugram, India | Work Mode: Full-Time, Onsite (5 Days/Week) Experience: 2+ Years in Generative AI & Computer Vision Who We Are Driving the Future of Automotive AI At Spyne, we re revolutionizing how cars are marketed and sold through cutting-edge Generative AI. What began as a bold idea to automate automotive photography has evolved into a full-stack AI ecosystem that helps dealerships sell faster, smarter, and more visually. Backed by $16M Series A funding (Vertex Ventures, Accel, and more) Expanded into US & EU markets Launched industry-first AI-powered 360 imaging solutions 5x revenue growth in 15 months, targeting 3 4x more this year Pioneering GenAI-powered sourcing, pricing, and CRM for global dealerships Role Overview: Computer Vision Engineer Diffusion Models We re hiring a Computer Vision Researcher with deep expertise in Diffusion Models and Generative AI to push the boundaries of image generation, model fine-tuning, and real-world AI deployment. This is a hands-on research and development role where you will be working with state-of-the-art techniques like Stable Diffusion, ControlNet, and Hypernetworks to build powerful production-ready AI models. Key Responsibilities Fine-Tune Diffusion Models: Optimize diffusion-based architectures for enhanced image quality, realism, and controllability. Prompt Engineering & Output Control: Refine prompt-to-image pipelines using custom prompt engineering strategies. Image Quality Enhancement: Design post-processing and ranking systems to boost visual aesthetics and accuracy. Integrate Advanced AI Models: Combine diffusion models with GANs, Transformers, and other architectures to improve creative outputs. Production-Grade Deployment: Deploy models in scalable environments using Docker, Kubernetes, and cloud services. Cross-Functional Collaboration: Work with researchers, MLOps, and product teams to bring GenAI capabilities into customer-facing platforms. Innovate Continuously: Stay at the forefront of academic and applied AI trends to bring new ideas into Spyne s AI product stack. Ideal Candidate Profile Education & Background B.Tech / M.Tech / MS in Computer Science, AI, Data Science, or a related field 2+ years of experience in Computer Vision, Diffusion Models, and Generative AI Technical Expertise Strong understanding of diffusion models like Stable Diffusion and Denoising Diffusion Probabilistic Models (DDPMs) Hands-on experience with ControlNet, Hypernetworks, LoRA, or similar architectures Proficient in prompt engineering and guided image generation techniques Solid foundation in image processing, deep learning, and model optimization Experience with production AI deployment, including cloud infrastructure, CI/CD, and containerization tools (Docker, Kubernetes) Programming in Python, with experience using PyTorch, TensorFlow, and relevant libraries Soft Skills & Mindset Strong analytical and debugging skills able to troubleshoot models in research and production Excellent communication able to present complex ideas simply A team-first mindset collaborative, adaptable, and ownership-driven Comfortable in a fast-paced, office-first environment focused on innovation and rapid development At Spyne, we build careers, not just roles in an innovation-first, people-centric culture. Employee Benefits & Perks Comprehensive Health & Life Insurance Full coverage for employees and dependents (GMC, GPA, GTLI) Performance-Driven Growth Merit-based career path and ownership opportunities from Day 1 Learning & Development Access to LinkedIn Learning, internal mentorship, and real-world AI challenges Office-First Culture Real-time collaboration, hands-on problem-solving, and innovation that happens faster in person Equity for Top Talent Competitive salary with stock options for high performers If you re a Computer Vision expert passionate about diffusion models, AI research, and bringing GenAI to production, Spyne offers you the platform to build, lead, and grow in one of the fastest-growing AI verticals in the world. Apply Now to be part of Spyne s GenAI journey! Qualification : B.Tech / M.Tech / MS in Computer Science, AI, Data Science, or a related field

Job Title: Manager - Business Analytics Location: Gurugram Experience: 6+ Years (1+ Years as Manager in MIS, WFM, or Reporting) Education: Any Graduation Job Description: We are seeking a Manager - Business Analytics to effectively lead our Business Analytics function and manage a team of 15-20 business analysts. In this role, you will be responsible for implementing tools and strategies that translate raw data into valuable business insights. Your goal will be to help drive high performance and quality by leveraging data for decision-making. Strong logical reasoning skills, business intelligence, and excellent communication abilities are essential for this role. Key Responsibilities: Team Leadership: Lead and manage a team of 15-20 Business Analysts, providing guidance and support in their daily activities and ensuring the accuracy and efficiency of their work. Data Reporting & MIS Generation: Generate, maintain, consolidate, and track various reports, ensuring timely and accurate delivery. Develop and execute daily, weekly, and monthly MIS Reports, utilizing advanced Excel/VBA, PPT, and MySQL. Update informative dashboards regularly with data visualization elements like Bar Charts, Pie Charts, etc. Reconcile and email MIS reports with data visualization details and track business performance. Data Analysis & Experimentation: Conduct data-based experiments to identify opportunities for improving the decision-making process. Develop and execute statistical modeling techniques for better business insights and to cover adjacent categories. Identify opportunities for automating reports, snapshots, and dashboards using advanced formulas, macros, and VB. Strategy & Process Optimization: Develop strategies for effective data analysis and reporting, ensuring that insights generated are aligned with business goals. Build systems and tools that can transform raw data into actionable business insights. Work closely with cross-functional teams to ensure that all analytics solutions are correctly configured and implemented. Data Quality & Integrity: Oversee all analytics operations to identify discrepancies and ensure the data is of the highest quality. Identify gaps in reporting systems and drive improvements to ensure the accuracy of business-critical data. Cross-Functional Collaboration: Collaborate with other departments to gather insights, ensure consistent reporting, and solve business challenges using data-driven decisions. Skills and Qualifications: Experience: Minimum 6 years of overall experience in analytics or reporting, with at least 1 year as a Manager in MIS, WFM, or Reporting. Technical Skills: Proficient in Advanced Excel, VBA, PowerPoint, and MySQL. Experience in building and maintaining dashboards, utilizing data visualization tools. Strong understanding of statistical modeling techniques and experience in applying them to business problems. Leadership: Proven experience in managing and mentoring a team, with the ability to guide the team towards effective problem-solving and reporting outcomes. Analytical Mindset: Strong problem-solving abilities and a keen eye for detail, ensuring data accuracy and the generation of actionable insights. Communication Skills: Excellent verbal and written communication skills, with the ability to present complex data insights in a clear and understandable manner to stakeholders at all levels. Automation & Optimization: Expertise in automating reporting processes using advanced formulas, macros, and VB to improve efficiency and accuracy. Additional Information: Work Days: 6 Days a week. Location: Gurugram. Education: Any graduation (Bachelors or higher). What We Offer: Competitive salary and benefits. A collaborative and growth-oriented work environment. Opportunity to make a significant impact on business performance using data-driven insights.

Job Title: Android Developer About the Role: We are looking for an enthusiastic and experienced Android Developer to join our fast-growing startup. If you re passionate about mobile app development and want to make an impact in a dynamic environment, this is the role for you. As an Android Developer, you will play a key role in designing, developing, and maintaining high-performance Android applications that will deliver an outstanding user experience. A Great Fit for This Role: Excited about start-ups: Thrive in a fast-paced, ever-evolving environment while being part of a small, high-performing team. Self-driven and passionate: You have a strong track record of designing, developing, and maintaining mobile apps, and you are eager to contribute to innovative solutions. Ambitious and solution-oriented: You are passionate about building cutting-edge Android apps with the best possible performance, quality, and responsiveness. Collaborative mindset: Work with cross-functional teams to define, design, and ship new features, and continuously improve the overall performance and functionality of the app. Key Responsibilities: Design & Development: Design and develop advanced Android applications ensuring optimal performance, quality, and responsiveness. Code Translation: Translate designs and wireframes into high-quality, clean, and efficient code. Bug Fixing & Performance Tuning: Identify bugs and performance bottlenecks, and resolve them to enhance the user experience. Feature Collaboration: Collaborate with cross-functional teams to define, design, and implement new features. API Integration: Work with external data sources, APIs, and integrate them seamlessly into the app. Continuous Improvement: Stay up to date with the latest trends in Android development and implement new techniques to improve app quality and functionality. Must-Have Skills and Experience: Java & Kotlin Expertise: Strong hands-on experience in Java and Kotlin development is mandatory, including proficiency in MVP architecture. MVVM Architecture: Experience in MVVM architecture is preferred. Android Design Principles: Deep knowledge of Google s Android design principles, patterns, best practices, and interface guidelines. Mobile Ecosystem Understanding: Experience working with the broader mobile landscape, including mobile architectures, trends, and emerging technologies. External API Integration: Proven ability to work with external data sources, APIs, and design patterns in mobile app development. Unit Testing: Experience with unit testing for robustness, edge cases, and app reliability. Performance & Memory Management: Strong understanding of memory management, network interaction, performance optimization, concurrency, and multi-threading. Computer Science Fundamentals: Excellent grasp of data structures and fundamental computer science concepts. Experience: A minimum of 2+ years of hands-on experience in Android application development. Educational Qualification: A B.S. in Computer Science or equivalent engineering degree from a Tier I or II college. Preferred Skills: Unit Testing: Preferred experience in unit testing code for robustness, including edge cases and usability. Advanced Android Techniques: Knowledge of advanced Android techniques like memory management, network interaction, and performance tuning. If you are looking for an exciting opportunity to grow as an Android Developer in a collaborative and innovative environment, we d love to have you join our team! Take ownership of your work, contribute to high-impact projects, and help shape the future of mobile app technology. Qualification : B.S. in Computer Science or equivalent engineering degree from Tier I or II college.

Job Title: Full Stack Developer (JavaScript, Node.js, React, AngularJS) About the Role: We are looking for an experienced and self-driven Full Stack Developer who is passionate about working in a fast-paced startup environment. As part of a small, talented team, you will be responsible for both front-end and back-end development, writing high-performance and scalable code, and solving complex challenges in a timely manner. If you're someone who thrives in a dynamic, time-sensitive environment and loves building solutions that make an impact, this role is for you. A Great Fit for This Role: Excited About Startups: You re passionate about working in a startup and contributing to a highly talented and agile team. Strong Analytical Skills: You re able to quickly understand new technologies, navigate unknown challenges, and implement practical solutions. Hands-On Engineer: You love to design and develop solutions, writing clean, maintainable, and efficient code for both the front-end and back-end. Fast-Paced Environment: You thrive in a high-pressure, fast-paced environment where solutions are delivered rapidly rather than on a weekly/monthly cycle. Proven Track Record: You have experience delivering projects under time-sensitive conditions and enjoy solving problems on the fly. Passion for Full-Stack Technologies: You are proficient in modern JavaScript-based front-end and back-end technologies, and relational/analytical databases. Key Responsibilities: Full-Stack Development: Design and develop both front-end and back-end systems using technologies such as Node.js, React, AngularJS, and relational/NoSQL databases. Solution Design: Write clean, high-quality, scalable, and maintainable code for the overall application architecture. API Development: Build, optimize, and maintain RESTful APIs to ensure smooth communication between client and server-side applications. Database Management: Design and optimize relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases for performance and scalability. Collaboration: Work closely with cross-functional teams to define and deliver new features and improvements, while maintaining high standards of code quality. Performance Optimization: Optimize both front-end and back-end performance, ensuring a seamless and fast user experience. Time-Sensitive Deliveries: Ensure the timely delivery of projects and handle issues in real-time, meeting daily targets and deadlines. Must-Have Skills and Experience: JavaScript & Modern Frameworks: 3-4 years of experience working with Node.js or React and AngularJS/JavaScript for front-end and back-end development. Database Expertise: Expertise with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB). Strong Understanding of Full-Stack Development: Proven experience in both front-end (React/AngularJS) and back-end (Node.js) technologies. Code Quality & Performance: Ability to write clean, efficient, and scalable code that performs well at scale. Education: Bachelor s/Master s degree in Computer Science from Tier-I/Tier-II colleges only. Nice to Have: Experience with Messaging Systems: Familiarity with RabbitMQ and Elastic Search for scalable and efficient data processing. Cloud Services: Experience with AWS services and cloud-based application deployment. CI/CD Practices: Familiarity with continuous integration and deployment methodologies (e.g., Jenkins, Kubernetes). Linux Proficiency: Comfortable working in a Linux environment for development and deployment. What You ll Bring to the Team: A passion for full-stack development and hands-on coding. Strong experience in building scalable applications with modern JavaScript frameworks and databases. A deep understanding of designing solutions that prioritize performance, maintainability, and scalability. A proactive approach to problem-solving, with the ability to work in an agile and fast-paced environment. The ability to collaborate effectively with team members and contribute to a culture of continuous improvement. Perks and Benefits: Competitive salary and performance-based incentives. Opportunity to work on cutting-edge technologies and solve complex engineering challenges. Work in a fast-paced, growth-oriented environment where you can directly impact the product and business. Flexible working hours and remote work options. If you re an experienced Full Stack Developer passionate about working in a dynamic, high-growth startup, we d love to hear from you! Qualification : Bachelor's/Masters degree in Computer Science from tier-I/tier-II colleges only.

Key Responsibilities: Design and Architect technical solutions for business problems of large Digital Lending ecosystem. Write maintainable/scalable/efficient code. Partners with cross-functional experts (Product Management, Sales, Design etc) to determine customer-focused solutions. Leverage best practices, articulates ideas, & markets them across team and organization. Promotes a culture of continuous learning. Leads application/framework/service design efforts, optimizing for quality, testing, and scale. Communicates clearly with team and management to define & achieve goals. What you will need to succeed: B Tech/BE in Computer Science or equivalent engineering degree from reputed institutions. 5+ years of experience building large-scale Applications or Products. A Bring it On attitude; bias for action: self-driven, end-to-end ownership; entrepreneurial approach; Focus on operational excellence; Ability to work with Ambiguity. Strong in problem-solving skills, data structures, and Algorithms. Expert understanding of one of Language Java or Go or Scala. Worked with one of NoSQL Database Cassandra, Hbase, MongoDB. Experience with messaging systems - RabbitMQ or Kafka. Expertise with RDBMS - PostgreSQL, MySQL. Deep understanding of Microservice Based Architecture and Domain Driven Design. Good knowledge of AWS infrastructure EC2, Auto Scaling, RDS, ELB, S3, Kinesis. Qualification : B Tech/BE in Computer Science or equivalent engineering degree from reputed institutions.

Key Responsibilities: Responsible for design, development, testing, troubleshooting, measurement, optimization and improvement of software, new products, and code libraries across platforms. Partners with cross functional experts (Product Management, Sales, Design, etc) to determine customer focused solutions. Leverage best practices, articulates ideas, & markets them across team and organization. Promotes a culture of continuous learning. Leads application/framework/service design efforts, optimizing for quality, testing, and scale. Communicates clearly with the team and management to define & achieve goals. Must Have: 2+ years of Experience with Angular. Excellent knowledge of front-end design and development. Strong expertise with HTML, CSS, and writing cross-browser-compatible code. Hands-on and implements complex AngularJS applications, directives, controllers, services. Good understanding of AJAX and JavaScript DOM manipulation techniques. Experience in JavaScript build tools like Grunt or Gulp. Thorough understanding of Computer Science Fundamentals and data structures. Critical thinking and problem-solving skills. Experience in working with the backend team for integrations. Experience with RESTful services.