Branch Prediction Jobs in Bengaluru

CPU Performance Engineer Company Arm Location Bengaluru Job Overview At Arm, we are building the Future of Computing. Achieving generational performance gains requires deep understanding of the core, microarchitecture, system-level details, and the workloads that run on them. We are seeking a highly motivated and skilled engineer to drive analysis, characterization, and deep understanding of complex infrastructure workloads. This is a versatile and high-visibility role requiring collaboration with global teams including hardware architects, software engineers, and toolchain experts. Your work will help shape the next-generation CPU microarchitecture through comprehensive workload performance analysis. Responsibilities Perform performance analysis and characterization of complex infrastructure workloads to identify software and microarchitectural improvements for next-generation processors/systems. Analyze CPU performance, power, and cost while identifying key technology challenges and opportunities for innovation. Collaborate with Arm architects to develop technologies that contribute to maintaining a best-in-class compute systems roadmap. Develop expertise in the competitive landscape and emerging technologies in areas such as infrastructure, computer vision, and machine learning. Required Skills and Experience Strong knowledge and experience in CPU architecture and microarchitecture, gained through development, research, or performance analysis/modeling/design. Ability to break down workload performance into insights spanning software (applications, toolchain, libraries) and CPU/system microarchitecture. Proven ability to work effectively both independently and as part of geographically distributed teams across multiple functional groups. Innovative mindset with a strong drive to explore new approaches, influence stakeholders through detailed investigation, and solve challenging technical problems. Bachelor s or Master s degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis. Nice-To-Have Skills and Experience Experience in CPU performance analysis and/or modeling. Background in workload analysis, characterization, and/or optimization of open-source software. Understanding of CPU infrastructure architectures and system-level constraints. Hands-on experience with advanced CPU techniques such as branch prediction and prefetching. Comfort working with emerging technologies and staying current with research advancements. Track record of influencing product roadmaps and delivering innovative solutions through prototypes and empirical analysis. What Arm Offers Arm provides an exceptional collaborative environment, offering exciting challenges and career growth opportunities. If you are interested but feel you don t meet every requirement, we encourage you to apply we value diverse skills and innovative thinking! #LI-KR2 Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis.

Job Title: CPU/Core Design Engineer (Intern) Job Description: Join Intel s Core and Client Development Group (C2DG) and contribute to the development of leading-edge CPU and Core technologies. In this role, you will be involved in CPU/Core design activities across various domains, supporting Intel s ongoing and next-generation Core CPUs. Key Responsibilities: Contribute to CPU/Core logic design for Intel s high-performance processors. Support pre-silicon verification, system validation, and firmware development. Assist in physical design, layout, and DFT (Design for Testability) engineering. Work with cross-functional teams to ensure high-quality and efficient CPU designs. Utilize industry-standard tools and methodologies for design and validation processes. Qualifications & Requirements: Educational Qualifications: Currently pursuing a Postgraduate Degree (M.Tech or equivalent) from a reputed institute in: Microelectronics & VLSI Digital System Design Computer Architecture Preferred Skills: Logic Design and digital circuit design fundamentals. Pre-Silicon Verification using simulation and validation techniques. Physical Design & Layout methodologies for semiconductor products. DFT (Design for Testability) Engineering. System Validation for ensuring reliability and performance. Firmware development related to CPU architecture and microarchitecture. About the Core and Client Development Group (C2DG): The Core and Client Development Group (C2DG) is a global organization responsible for the development and integration of SoCs, Core processors, and critical IPs that power Intel s flagship products. C2DG drives the client roadmap for Intel s Client Computing Group (CCG), delivers server-first cores for Data Center Group (DCG), and invests in future disruptive technologies. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer, ensuring fair consideration for all applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under local law. Intel offers a highly competitive total compensation package, including: Competitive pay, stock options, and performance-based bonuses. Comprehensive healthcare, retirement plans, and paid time off. Opportunities for professional development and career growth. Qualification : Currently pursuing a Postgraduate Degree (M.Tech or equivalent) from a reputed institute in:

Deputy Manager Mortgage Sales Location: Bangalore Experience Required: 4 6 Years Employment Type: Permanent Functional Area: Team Leader Non-Technical Role Summary: We are looking for an experienced and performance-driven Deputy Manager Mortgage Sales to lead a high-performing sales team focused on home loan products. This role requires strong leadership capabilities, relationship management skills, and a solid understanding of mortgage sales processes. The candidate will be responsible for driving business growth through team management, source development, and effective coordination with internal and external stakeholders. Key Responsibilities: 1. Area / Geography Mapping Allocate sales territories and geographies to team members Work closely with the team to ensure proper mapping and coverage Conduct periodic audits and reviews; share progress updates with senior management 2. Source Relationship Management Maintain and strengthen relationships with all sourcing channels in the assigned geography Support the team in building a reliable source base for consistent business generation 3. Sales Coaching & Joint Calls Conduct daily joint calls with team members for sales and source visits Provide on-the-ground coaching and mentorship during client interactions 4. Channel Partner Recruitment Validate and empanel channel partners as per organizational standards Ensure performance monitoring and active engagement with onboarded partners 5. Team Huddles Organize and lead daily team huddles to align objectives, review targets, and share updates 6. Weekly Review & Reporting Drive weekly reviews using goal sheets and ensure completion of Sales Patri II Monitor team performance and implement action plans to meet business targets 7. HSPL Hub Coordination Liaise with the credit and operations team on logged-in loan applications Update team members regularly on application status and feedback Desired Candidate Profile: Educational Qualification: Graduate in any discipline (MBA preferred) Experience: 4 6 years in sales, with at least 1 year in a team leadership role Industry Experience: Prior experience in home loan or mortgage sales is highly desirable Strong interpersonal, team management, and stakeholder engagement skills Proactive, target-oriented, and well-organized professional Qualification : Graduate in any discipline (MBA preferred)

Data Scientist Location: Bengaluru Department: Global Strategic Services Data Science EMEA Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader harnessing AI and data to solve complex business challenges across industries such as Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy. Our flagship solutions include Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion (CDF) platform. Recognized as a 2022 Technology Innovation Leader and the 2024 Microsoft Energy and Resources Partner of the Year, Cognite is at the forefront of industrial digital transformation. Our Values Impact: We focus on meaningful results. Ownership: We take responsibility, foster inclusivity, and share success. Relentless: We pursue innovation with determination and resilience. Who You Are 3+ years of industry experience (or academic equivalent) in Oil & Gas, Manufacturing, or Power & Utilities, developing analytical solutions for production optimization, predictive maintenance, and related applications (e.g., well monitoring, event prediction, production planning). 1+ years serving as a domain expert on internal or customer projects. Proficient in Python and its data ecosystem (pandas, numpy), and ML libraries such as scikit-learn, Keras, etc. Skilled in data visualization tools like PowerBI, Grafana, Tableau, or web frameworks like Plotly Dash, Streamlit. Advocates for software best practices, including automated testing and documentation. Experienced with version control systems such as Git. Comfortable contributing to large-scale software projects. Pragmatic thinker able to balance short- and long-term tradeoffs. Trusted advisor on machine learning applications, with excellent communication skills for technical stakeholders and customers. Experienced mentor and quality assurer for junior team members. Cloud experience, including building streaming models and deploying serverless functions. Track record working across diverse industries. Eager to stay current with advances in generative AI and explore its practical applications for customers. Be part of a diverse global team with 70+ nationalities and a strong commitment to Diversity, Equality, and Inclusion (DEI). Work from our Bengaluru office (Rathi Legacy, Hoodi) in a modern hybrid environment. Benefit from a flat organizational structure with direct access to decision-makers. Collaborate on impactful, ambitious projects alongside talented professionals across industries. Engage with our community through internal HUBs and open conversations. Make an Impact Join Cognite and help transform industrial sectors by enabling better decisions through AI and data. We encourage candidates of all backgrounds to apply. If you re ready to grow and innovate with us, apply today!

When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys. Innovate With Ansys, Power Your Career. Summary / Role Purpose The Senior Application Engineer is responsible for leveraging their experience, subject matter expertise, and customer-relationship skills to assist in growing our software business by proactively helping customers deploy ANSYS technology to deliver on their key business initiatives. This role is focused on the Automotive Industry for applications like crashworthiness, occupant, and pedestrian safety. Key Duties and Responsibilities Collaborate with Sales to create solutions to complex customer problems using LS-DYNA and other Ansys structural simulation software. Support Automotive customers in developing methods for crash and safety-related simulation. Present ANSYS value proposition to executive-level audiences. Lead high-profile business development projects and analysis of complex technical problems. Provide best practices to help customers derive more value from ANSYS solutions. Participate in internal corporate initiatives for product enhancement, consulting, and training. Minimum Education / Certification Requirements and Experience BS in engineering or a related technical discipline. Minimum 5 years of experience in automotive crash-related simulation. Knowledge of LS-DYNA and other Ansys tools. Understanding of Euro-NCAP, G-NCAP, and Bharat N-CAP simulation implementations. Experience in durability, full vehicle crash simulation, dummy positioning, airbag modeling. Strong fundamentals in Structural Mechanics, FEA, Non-Linear Materials, and Dynamics. Strong project management skills, ability to work with cross-functional teams. Preferred Qualifications and Skills MS or PhD in Engineering is preferred. Customer service mindset with a passion for excellence. Ability to travel up to 25%. At Ansys, We Operate as ONE Ansys We fuel new ideas, build relationships, and help each other realize our greatest potential. Our Commitments: Amaze with innovative products and solutions. Make our customers incredibly successful. Act with integrity. Ensure employees thrive and shareholders prosper. Our Values: Adaptability: Be open, welcome what s next. Courage: Move forward passionately. Generosity: Share, listen, serve. Authenticity: Be you, make us stronger. Our Actions: We commit to audacious goals. We work seamlessly as a team. We demonstrate mastery. We deliver outstanding results. Inclusion is at Our Core We believe diverse thinking leads to better outcomes. We are committed to creating a workplace where diversity, inclusion, equity, and belonging thrive. Welcome What s Next in Your Career at Ansys At Ansys, you will work alongside visionary leaders to change the world with innovative technology. We push the limits of world-class simulation technology, empowering our customers to turn their design concepts into successful, innovative products faster and at a lower cost. At Ansys, it s about learning, discovery, and collaboration. It s about the "what s next" as much as the "mission accomplished." It s about forging innovation in an environment built on respect, autonomy, and ethics.

Position Purpose: At Bayer, we are committed to solving the world s most challenging problems, including revolutionizing farming practices. We are seeking a Data Scientist - Agronomy & Remote Sensing to lead the development of data-driven agricultural solutions. By combining expertise in soil science, crop modeling, remote sensing, and advanced analytics, you will create innovative digital products that enhance agricultural productivity and improve farming practices. Key Responsibilities Innovation & Experimentation: Collaborate with cross-functional teams to build data-driven solutions and offerings for farmers. Model Development: Develop weather and climate change models using statistical and process-based methods. Field Experiments: Design and lead field experiments, guiding field officers for data collection and model validation. Predictive Modeling: Build predictive models to map soil properties and field variabilities using statistical and modeling techniques. Collaboration: Work with data scientists and engineers to develop models that diagnose, predict, and analyze crop performance. Deployment: Deploy analysis results and models into customer-facing services, monitor performance, and improve models. Data Handling: Clean, analyze, and visualize complex agricultural, remote sensing, and geospatial datasets to derive actionable insights. Data Quality: Work with the data quality team to resolve any data-related issues. Who You Are Educational Qualification: MS with 5+ years of experience in soil research and remote sensing, or Ph.D. in Remote Sensing, Soil Science, Agronomy, Environmental Science, or a related field. Experience: Expertise in remote sensing, agricultural, and geospatial datasets, applying data science techniques to real-world problems. Strong background in soil hydrology and/or Agronomy with experience in using geospatial datasets (e.g., SoilGrids, ERA5). Proficiency in GIS software for geospatial analysis. Experience with Python/R and SQL for data analysis. Familiarity with statistical modeling techniques like Linear Regression, Partial Least Squares, Random Forest, Neural Networks, etc. Dynamic Shared Ownership (DSO): Bayer promotes a culture of productivity, innovation, and faster results, reshaping how we work together. Equal Opportunity Employer: Bayer values fairness, respect, and diversity, offering equal opportunities regardless of race, religion, gender, or other factors.

Job Title: Product Analyst Location: Bengaluru, India Company: LimeChat About LimeChat LimeChat is transforming how businesses engage customers through human-level AI on WhatsApp. As part of Y Combinator's W21 cohort, we support over 300 top brands like HUL, ITC, Wow Skin Science, and Piramal Health. Our Gen AI agents are driving millions of interactions daily, now expanding into high-stakes sectors like BFSI, Healthcare, and Retail. At LimeChat, we operate like an elite sports team driven, mission-focused, and constantly raising the bar. If you re passionate about data and want to make a measurable impact in a high-growth AI startup, this is your moment. About the Role We're looking for a Product Analyst who will turn complex product data into clear, actionable insights. This role offers end-to-end ownership from designing metrics and running experiments to influencing roadmap decisions. You'll work closely with PMs, engineers, and designers to guide product development and help answer tough questions through data. If you're experienced in analytics, crave ownership, and thrive in fast-paced environments, we want to hear from you. Responsibilities Product & User Analytics Map user journeys to uncover friction in activation, engagement, and retention. Run deep-dive analyses: retention curves, funnel breakdowns, cohort analysis. Design, execute, and analyze A/B tests to validate hypotheses. Create lightweight forecasting models for revenue and payback predictions. Collaborate with PMs to define and track North-Star and supporting metrics. Self-Serve Insights Build and manage Metabase / Looker dashboards for internal teams. Automate reporting for product reviews and roadmap discussions. Maintain clear documentation of metrics, definitions, and data models. Cross-Functional Collaboration Share insights with Growth and CS teams to help drive upsells and prevent churn. Partner with Engineering on event tracking and data QA. Support executive reporting by prepping investor decks and board metrics. Must-Haves 1 2 years in a product analytics, growth analytics, or product ops role. Strong hands-on SQL skills and experience with a BI tool (e.g., Metabase, Looker, Power BI). Comfortable turning ambiguous product questions into clear metrics and explanations. Solid understanding of core metrics like DAU/WAU/MAU, retention, LTV, CAC, payback. Proactive, detail-oriented, and highly outcome-driven. Nice-to-Haves Experience with SaaS or B2B analytics, especially in chatbots or CX automation. Exposure to Python or R for deep-dive analysis or ML experimentation. Understanding of financial metrics and product-led revenue dashboards. Perks & Benefits Unlimited PTO & sick leave Free lunch and snacks Subsidized fitness membership Pet-friendly office Annual team retreat You won t just be running dashboards you ll be shaping product decisions, owning metrics end-to-end, and influencing the roadmap of an AI company at the cutting edge of conversational commerce. This is a career-defining opportunity to grow fast, work with a high-caliber team, and make measurable impact at scale.

Data Scientist with GenAI-2 Location: Bengaluru, India Company: Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) Company Overview Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. Job Description Key Responsibilities: Research, design, develop, and modify computer vision and machine learning algorithms and models, leveraging technologies such as Caffe, Torch, or TensorFlow. Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops, and prototyping initiatives. Help build a high-impact ML/AI team by supporting recruitment, training, and development of team members. Serve as an evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations, and/or other channels. Design integrations of and tune machine learning and computer vision algorithms. Research and prototype techniques and algorithms for object detection and recognition. Use Convolutional Neural Networks (CNN) for performing image classification and object detection. Familiarity with Embedded Vision Processing systems. Work with open-source tools & platforms for statistical modeling, data extraction, and analysis. Construct, train, evaluate, and tune neural networks. Mandatory Skills: Proficiency in Java, C++, Python. Experience with Deep Learning frameworks such as Caffe, Torch, TensorFlow. Experience with image/video vision libraries like OpenCV, Clarifai, Google Cloud Vision. Expertise in Supervised & Unsupervised Learning. Development of feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, random forest) on big data computation platforms (Hadoop, Spark, HIVE, Tableau). Familiarity with technologies such as Tableau, Hadoop, Spark, HBase, Kafka. Experience: 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence. Experience in creating and applying Machine Learning algorithms to a variety of real-world problems with large datasets. Building scalable machine learning systems and data-driven products working with cross-functional teams. Experience with cloud services like AWS, Microsoft, IBM, and Google Cloud. Experience with Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems, or similar fields. Nice to Have: Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering, or related technical field or equivalent practical experience. About Wipro Wipro is building a modern digital transformation business with bold ambitions. Join a team that values reinvention of yourself, your career, and your skills. Wipro is a place that empowers you to design your own career reinvention, evolve, and grow. Applications from people with disabilities are explicitly welcome. Qualification : BA/BS (advanced degree preferable) in Computer Science, Engineering, or related technical field or equivalent practical experience.

Principal Applied Scientist Location: Bangalore, Karnataka, India Employment Type: Full-Time Overview Join the Computational Advertising Team within the AI & Research organization at Microsoft. We are seeking a passionate Principal Applied Scientist with expertise in machine learning, deep learning, natural language processing, and optimization. The team works on some of the most exciting problems in machine learning, powering the search advertising ecosystem of Bing, which holds a 30% share of desktop search in the US and a significant presence worldwide. The Principal Applied Scientist will contribute to building large-scale machine learning systems that model user responses, ranking, and various other business applications. Your work will have direct business impact, collaborating with top-tier machine learning scientists and engineers to deliver innovative solutions. Key Responsibilities Design & Implement ML Algorithms: Develop, tune, and analyze complex algorithms for large datasets and real-time systems in the advertising ecosystem. Productionize Machine Learning Models: Focus on deploying machine learning models in large-scale production environments, ensuring high-quality and sustainable performance. Collaborate with Experts: Work closely with cross-functional teams of scientists and engineers to integrate advanced machine learning techniques into production systems. Research & Development: Contribute to ongoing research in machine learning, optimization, and information retrieval to advance the core technologies in search advertising. Mentorship & Thought Leadership: Share your expertise with the team, mentor junior scientists, and help shape the direction of research efforts within the team. Qualifications Required Qualifications: Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research), OR Master's degree in a related field AND 4+ years of relevant experience, OR Doctorate in a related field AND 3+ years of relevant experience, OR Equivalent experience in machine learning, research, or applied statistics. Additional Requirements: Strong understanding of probability, statistics, machine learning, A/B testing, and optimizing ML models for accuracy. Experience with distributed computing systems (e.g., Hadoop, Spark) for large-scale training and prediction with ML models. Hands-on experience implementing machine learning algorithms from research papers to production systems. Expertise in TensorFlow or PyTorch and deep learning models. Preferred Qualifications: Solid understanding of natural language processing (NLP), information retrieval, and optimization techniques. Experience working with large-scale, real-time systems and databases. Strong track record of delivering machine learning systems to production and optimizing them at scale. Microsoft s mission is to empower every person and organization on the planet to achieve more. At Microsoft, you ll have the opportunity to work with the brightest minds, contribute to cutting-edge AI advancements, and make a significant impact in a growing $100 billion global market. Employee Benefits Industry-leading healthcare coverage Generous paid time off and family leave policies Access to continuous learning and professional development resources Employee discounts and savings programs Opportunities to collaborate with the world s leading AI experts Global networking and community engagement opportunities Microsoft is an equal opportunity employer. We are committed to fostering an inclusive environment where all individuals are treated with respect, regardless of race, gender, religion, disability, or any other characteristic protected by law. Qualification : Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research), OR Master's degree in a related field AND 4+ years of relevant experience, OR Doctorate in a related field AND 3+ years of relevant experience, OR Equivalent experience in machine learning, research, or applied statistics.

Job Title: Business Analyst Associate Location: Bengaluru Experience Required: 8+ years Education: BE/B.Tech/MBA Domain Knowledge: BFSI (Banking, Financial Services, and Insurance) Certifications: Certification in Business Analysis (e.g., CBAP, PMI-PBA) Notice Period: Less than 60 days Job Overview: As a Business Analyst Associate, you will support the analysis and design phases of projects by collaborating with business stakeholders to understand their needs and translate them into actionable solutions. Your role will focus on the pre-initiation, initiation, and design stages, working closely with business and technical teams. You will help validate solutions, support User Acceptance Testing (UAT), and drive change adoption for CLIENT programs and projects. Key Responsibilities: Requirement Elicitation Engage with stakeholders, including business users, management, and subject matter experts, to gather detailed business requirements. Conduct interviews, workshops, focus groups, surveys, and observations to document stakeholder needs. Utilize various elicitation techniques like brainstorming, document analysis, and prototyping to uncover business requirements. Requirement Analysis Analyze and prioritize business requirements to ensure alignment with business objectives and project goals. Break down high-level business and user requirements into functional and non-functional requirements. Identify gaps, inconsistencies, and conflicts in requirements and collaborate with stakeholders to resolve them. Documentation Create comprehensive documentation, including Business Requirements Documents (BRDs), Functional Specifications, Use Cases, User Stories, and Process Flow Diagrams. Maintain clear and concise documentation for ease of understanding and accessibility to all stakeholders. Stakeholder Communication Act as a liaison between business stakeholders and technical teams to ensure effective communication and a shared understanding of requirements. Facilitate meetings, presentations, and workshops to communicate findings, project updates, and recommendations. Solution Design & Implementation Collaborate with development teams to translate business requirements into functional specifications and technical requirements. Participate in designing and implementing solutions that meet business needs and improve operational efficiency. Provide input during design reviews to ensure solutions align with business requirements. Testing and Quality Assurance Develop and execute test plans, test cases, and test scripts to ensure that solutions meet business requirements and are defect-free. Conduct User Acceptance Testing (UAT), gather feedback, and refine solutions accordingly. Document and communicate test results to stakeholders. Data Analysis & Reporting Perform data analysis to support business decisions and provide actionable insights. Create and maintain dashboards, reports, and visualizations to track KPIs and project progress. Project Management Support Manage project timelines, deliverables, and resources to ensure successful project completion. Monitor and report on project progress, including risks, issues, and changes. Coordinate with project managers to ensure alignment with project plans and schedules. Continuous Improvement Identify opportunities for process improvements and recommend solutions to enhance business performance. Promote a culture of continuous improvement and innovation within the team and organization. Stay updated on industry trends and best practices to drive business improvements. Training & Support Provide ongoing support and training to stakeholders on new systems, processes, and tools. Develop training materials and conduct sessions to ensure successful adoption of solutions. Act as a point of contact for post-implementation support and troubleshooting. Industry and Domain Knowledge Stay updated on industry trends, regulatory changes, and best practices related to BFSI. Apply domain knowledge to ensure solutions align with industry standards and regulatory requirements. Domain Expertise Required: You should have experience in the following areas of Banking Operations: Wealth and Private Banking (Retail Banking) Retail lending and investing concepts Mortgage and credit card processes Contact Center Optimization (IVR, browser changes under digital channels) Branch optimization Payments International Payment Systems and Open-Banking API-driven payments End-to-End payment lifecycle experience Corporate payments, cash management, real-time/immediate payments ISO 20022 migration experience Investment and Commercial Banking (CMB) Corporate and cash management core products and services Trade operations, market liquidity, and capital flow Knowledge of regulatory issues and Automated Data Flow projects (e.g., RBI automated reporting systems) Skills & Qualifications: Educational Background: Master s degree in Business Administration or related field. Certifications: CBAP, PMI-PBA, or other relevant business analysis certifications. Technical Knowledge: Strong understanding of the Software Development Life Cycle (SDLC) and technical project management. Data Analysis Tools: Experience with tools like Excel, SQL, or Tableau for data analysis and visualization. Project Management Methodologies: Familiarity with Agile or Waterfall methodologies. Domain Expertise: Experience in Banking and Financial Services (BFSI), particularly in leading or participating in end-to-end digital transformation programs in Agile environments. Additional Expertise for Specific Projects: For Market Business Analysis (BA), the focus will be on analyzing business challenges and identifying requirements for digitization, especially in Agile environments (CSM certified, SAFe methodology). You will manage backlogs, engage stakeholders, and support market adoption efforts. For Digital Business Analysis (BA), you will collaborate with technology teams to ensure the solutions meet business needs. You'll work w...

Role: Senior Software Engineer Node.js As a Senior Software Engineer specializing in Node.js, you will be responsible for designing, developing, and maintaining critical security agent-based products and prototypes. You will have the opportunity to solve complex technical issues, perform deep analysis, and work with a collaborative cross-functional team. Your work will focus on creating innovative solutions, enhancing security, and ensuring scalability across systems in an agile development environment. Key Responsibilities: Design & Development: Contribute to the design, development, and maintenance of runtime security agent-based products. Prototype and innovate solutions to address complex security challenges. Troubleshooting & Root Cause Analysis: Investigate issues raised in the field, perform root cause analysis, and implement resolutions. Agile Development: Participate in all phases of the Agile SDLC (Software Development Life Cycle). Collaborate with cross-functional teams, including product managers, quality engineers, field engineers, and pre-sales engineers. Code Quality & Testing: Prioritize code quality through comprehensive code reviews and targeted unit and integration test coverage. Contribute to performance optimizations and debugging in a server-side JavaScript environment. Required Qualifications & Skills: Experience: 7+ years of software development experience in the Node.js ecosystem. Core Node.js Expertise: Strong understanding of Node.js fundamentals: module handling (ECMAScript, CommonJS), concurrency (worker threads), and asynchronous development (async-hooks). Proficient in server-side frameworks such as Express and Next.js. Experience with npm and yarn for application packaging and dependency management. Testing & Debugging: Solid experience with unit testing frameworks like Jest. Ability to profile, optimize, and debug server-side JavaScript code effectively. Containerization & Deployment: Hands-on experience with containerized environments (e.g., Docker, Kubernetes). Software Development Practices: Deep understanding of design patterns and best practices in software development. Proficiency in git and version control best practices. Communication Skills: Ability to communicate technical concepts clearly to both technical and non-technical stakeholders. Educational Background: B.Tech or M.Tech/M.E in Computer Science or related field. Preferred Experience: Experience with C++ addons and Node-API for interoperability with native libraries and applications. Understanding of software security exploits and developing solutions to mitigate risks. Familiarity with other programming languages such as Python, PHP, Java, C/C++, or Go. Experience with performance testing tools and techniques, as well as penetration testing methods. Why Join Thales? At Thales, we don't just offer jobs we provide CAREERS. With over 80,000 employees across 68 countries, we offer mobility and growth opportunities in a wide range of technical fields. Whether you're looking to grow in your current area of expertise or branch into new domains, Thales provides the flexibility to help you shape your professional journey. Great journeys start here. Apply now! Qualification : B.Tech or M.Tech/M.E in Computer Science or related field.

The Role: Senior Software Developer Join Ericsson Enterprise Wireless Solutions (BEWS) the leader in Wireless-WAN enterprise connectivity, Private 5G networks, and Secure Access Service Edge (SASE) solutions. We're on a mission to revolutionize Industry 4.0 through the Ericsson Private 5G (EP5G) product. This next-generation private network enables organizations to drive business-critical operations with secure, powerful 4G LTE and 5G Standalone (SA) connectivity. As part of our Service Team, you ll design and develop microservices that manage the Network Controller and provide Visibility features. What You ll Do Design, develop, deploy, and maintain cloud-based microservices using Golang, Java, and Python. Lead and participate in feature analysis, design, and technical breakdown activities. Troubleshoot issues in both development and production environments. Write and maintain automated test cases. Continuously deliver small batches of working software to the main branch. Stay updated on industry trends and introduce innovative solutions to enhance application performance and efficiency. Mentor junior engineers and promote technical excellence. Qualifications Minimum Requirements: Bachelor of Engineering in Computer Science or a related field. 4+ years of experience in software development with Golang and/or Java in Google Cloud or AWS environments. Strong problem-solving skills and a passion for learning new technologies. Solid experience with databases (MySQL, Postgres, DynamoDB) and building REST APIs. Strong understanding of data structures and functional/object-oriented design. Experience with Python for automated testing. Positive attitude and ability to estimate development tasks effectively. Preferred Qualifications: Experience with Docker, Kubernetes, and CI/CD pipelines. Full-stack development experience, including frontend development with JavaScript. Work with an industry leader shaping the future of technology. Collaborate in a diverse, inclusive, and innovative environment. Drive the modernization and digitalization of industries with cutting-edge solutions. About Ericsson With a rich history of 145 years, Ericsson has pioneered innovations that shape the mobile world. Supported by 60,000+ patents, we empower our team members to lead, learn, and perform at their best. Join us in shaping the future of technology. Qualification : Bachelor of Engineering in Computer Science with 4+ years of professional experience developing software using Golang and/or Java, deployed into Google Cloud or AWS cloud environments

Overview As the technology firm that created the mobile world and a rich history of 145 years of building ground-breaking solutions and innovative technologies supported by 60,000+ patents, Ericsson has made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology. This is a place where you are welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Ericsson Enterprise Wireless Solutions (BEWS) is the group responsible for leading Ericsson s Enterprise Networking and Security business. Our growing product portfolio spans across wide area networks, local area networks and enterprise security. We are the #1 global market leader in Wireless-WAN based enterprise connectivity solutions and are growing fast in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions. How Will You Contribute to the Company? Ericsson Enterprise Wireless Solutions is on a mission to become number #1 in the Private Cellular Networks space with the Ericsson Private 5G (EP5G) product offering. The Ericsson Private 5G is a next-generation, private network, tailored to drive Industry 4.0, the modernization and digitalization of infrastructures and business process operations. Organizations gain secure and powerful 4G LTE and 5G Standalone (SA) connectivity allowing them to optimize and simplify business critical operations through data creation, collection, and analysis. We are now seeking an energetic and talented Senior Software Developer who will join our Service Team that is accountable for developing Microservices that manage Network Controller and providing Visibility features. The Service Team is composed of both backend developers and frontend developers; supported and led by the team's Engineering Manager and Product Owner. What Will You Do? Design, develop, deploy and maintain a suite of Cloud components/microservices written in Golang, Java, and Python Lead and participate in Feature analysis, design and technical breakdown activities Troubleshoot development and production environments Write automated test cases Continuously deliver small batches of working software to our main branch Stay updated on industry trends and emerging technologies. Introduce innovative solutions to improve application performance and efficiency Mentor and guide junior engineers, fostering a culture of technical excellence Qualifications Minimum Qualifications: Bachelor of Engineering in Computer Science with 8+ years of professional experience developing software using Golang and/or Java, deployed into Google Cloud or AWS cloud environments Excellent problem-solving skills and a natural interest in learning new things Solid experience in Databases (0MySQL, Postgres, DynamoDB) and REST APIs Solid grasp of data structures and functional and object-oriented design Experience using Python for automated testing A can-do mindset and behavior Well-versed with scoping efforts and estimating development tasks Preferred Qualifications: Experience with Docker and Kubernetes and CI/CD processes Experience working full stack including frontend (JavaScript) development Qualification : Bachelor of Engineering in Computer Science with 8+ years of professional experience developing software using Golang and/or Java, deployed into Google Cloud or AWS cloud environments

Job Summary: We are looking for an SAP eSPP Consultant with specialized experience in automotive spare parts planning using SAP S/4 HANA. The ideal candidate will possess strong expertise in eSPP (Extended Spare Parts Planning), SPP (Spare Parts Planning), and related modules, with hands-on experience in implementing, configuring, and optimizing solutions tailored to the automotive industry. You will be responsible for the implementation and configuration of planning processes, inventory management, forecasting, and integration of eSPP with legacy systems and other SAP applications such as SAC. Key Responsibilities: 1. eSPP Implementation & Configuration: Lead the implementation of SAP eSPP for automotive spare parts planning, ensuring best practices in planning, initiating, and delivering operations. Configure and maintain forecasting, inventory planning, and DRP (Distribution Requirements Planning) within the eSPP module of SAP S/4 HANA. Define and implement new BODs (Business Object Documents), Tlanes, target service levels, and supersessions, integrating these with S/4 HANA and related systems. 2. Planning and Operations: Configure service, process, planning, and selection profiles for the execution of planning services in eSPP, ensuring alignment with business operations. Work on multi-industry projects, focusing primarily on automotive industry needs with an emphasis on spare parts planning and supply chain optimization. 3. Integration and Interface Management: Configure and maintain interfaces between legacy systems and SAP eSPP, ensuring smooth data flow and synchronization across platforms. Oversee the integration between eSPP and SAP Analytics Cloud (SAC), creating customized dashboards and reports within SAC for business users. 4. Master Data Management: Manage master data related to spare parts and inventory, ensuring that all data is accurate and up-to-date for effective planning and forecasting. Focus on developing and managing Phase-In/Phase-Out forecasts to ensure the effective lifecycle management of automotive spare parts. 5. Forecasting & Planning Services: Lead the configuration and optimization of forecasting models within SAP S/4 HANA eSPP to ensure accurate demand prediction and inventory replenishment. Collaborate with other functional teams to define and implement planning strategies to meet business requirements for parts availability and cost optimization. 6. Customization and Complex Developments: Work on complex developments and design tasks related to various functional areas including: Master data management Forecasting models DRP (Distribution Requirements Planning) Inventory planning and replenishment strategies Leverage advanced eSPP configuration options to meet the business needs in automotive spare parts supply chain management. 7. Process Optimization and Continuous Improvement: Identify and implement improvements to the embedded eSPP process, enhancing the configuration to meet evolving business requirements and technology advancements. Provide guidance on best practices and continuous process improvements for the spare parts planning process. 8. Stakeholder Communication and Documentation: Collaborate with cross-functional teams, including business analysts, developers, and project managers, to ensure successful project delivery. Prepare detailed documentation for configuration, processes, and integration solutions. Required Skills and Qualifications: Experience: Minimum 5-8 years of hands-on experience in SAP eSPP and SAP S/4 HANA with a deep focus on spare parts planning, forecasting, and DRP in the automotive industry. Proven experience in multi-industry implementations, with a primary focus on automotive spare parts planning. Extensive experience in configuring and optimizing eSPP modules, including planning, forecasting, and service profiles. Expertise in integration between eSPP, legacy systems, and SAP SAC (SAP Analytics Cloud), including dashboard creation and reporting. Technical Skills: Strong understanding of SAP S/4 HANA, eSPP (Extended Spare Parts Planning), and SPP (Spare Parts Planning). Hands-on experience with forecasting, inventory planning, and distribution requirements planning (DRP). Expertise in configuring service profiles, process profiles, Tlanes, and BODs in SAP S/4 HANA. Good understanding of SAP interfaces and integration methodologies between various SAP systems and third-party tools. Soft Skills: Excellent communication and stakeholder management skills, with the ability to explain complex concepts to both technical and non-technical audiences. Ability to work in a team-oriented environment while also being capable of managing individual project tasks and deadlines. Strong analytical and problem-solving skills, with the ability to develop creative solutions to complex challenges. Certifications: SAP certification in S/4 HANA (Preferred). ITIL, Six Sigma or similar certifications (Preferred). Educational Qualification: Bachelor's degree in Engineering, Computer Science, or a related field. Master's degree is a plus.

Data Annotation Specialist Location: Bengaluru, India About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that s redefining service intelligence. Backed by leading venture capitalists in Silicon Valley and a distinguished group of angel investors, Neuron7.ai is a startup recognized for its innovation and market traction. Our platform delivers service predictions by analyzing both structured and unstructured data, enabling enterprises in industries like high-tech devices, manufacturing, and medical devices to make accurate service decisions at scale. We re looking for a Data Annotation Specialist to join our team for a 6-month contract. This role involves reviewing and annotating technical documents, converting them into visual formats like graphs and flowcharts, and ensuring precision in technical specifications. The ideal candidate will possess strong communication skills, a deep understanding of technical documentation, and hands-on experience with data visualization tools. At Neuron7.ai, you'll be part of an innovative, dynamic team that's redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. If you're passionate about transforming complex data into easily digestible visuals, this is the perfect role for you. About the Team Join a team of passionate professionals dedicated to using AI to drive impactful service solutions. Our culture promotes learning, growth, and encourages everyone to contribute ideas and drive projects forward. What You ll Do: Document Review & Annotation: Thoroughly analyze technical documents and annotate key data points accurately, ensuring they are aligned with the original content. Graph & Flowchart Creation: Transform complex technical specifications into clear, concise, and accurate visual formats like graphs, charts, and flowcharts. Data Visualization: Develop easy-to-understand visual data representations to enhance the comprehension of technical documentation. Collaboration: Work closely with internal technical teams to ensure that data and processes are correctly represented and visualized. Quality Control: Ensure that all annotations and visuals meet the highest accuracy standards and align with the original documentation. Clear Communication: Effectively communicate technical details, both in writing and verbally, with internal teams and stakeholders. Time Management: Manage multiple tasks efficiently while meeting deadlines, and be flexible with working hours, primarily in the PST time zone. What You ll Need: Education: A Bachelor s degree (or higher). Curiosity and Analytical Thinking: Strong curiosity about how people think and express ideas, and an ability to distill and clarify complex information for AI and machine learning applications. Communication Skills: Exceptional written and verbal communication skills to convey complex technical concepts clearly. Technical Document Comprehension: Ability to read and understand technical documents, accurately annotating them with precision. Graph & Flowchart Creation: Hands-on experience creating graphs, charts, and flowcharts to visually represent technical data. Attention to Detail: A keen eye for detail to ensure accuracy in annotation and data visualization. Technical Aptitude: Comfort with working with technical information and transforming it into easy-to-understand visuals. Flexible Working Hours: Ability to work flexible hours, primarily within the PST time zone. Immediate Availability: Must be able to start immediately and commit to the full 6-month contract. What We d Like to See: Experience with Diagramming Tools: Familiarity with tools like Microsoft Visio or similar for diagramming and process mapping. Data Annotation Experience: Previous experience in data annotation would be a plus. Multilingual Skills: Fluency in an international language other than English is a plus. Our Commitment to Diversity and Inclusion Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination or harassment 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 using data to drive service intelligence and want to be part of a forward-thinking team, we d love to hear from you! Qualification : A Bachelors degree (or higher).

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 DevOps Engineer Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is revolutionizing the world of 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 platform enables enterprises to make accurate service decisions at scale by delivering service predictions in seconds through the analysis of both structured and unstructured data. At Neuron7.ai, you will be part of a dynamic and innovative team that is pushing the boundaries of service intelligence. We value creativity, collaboration, and a relentless commitment to innovation. This is your opportunity to make a meaningful impact on cutting-edge products at scale, in a fast-growing startup environment. About the Team Join a passionate team of professionals focused on optimizing our infrastructure, deployment processes, and overall system performance. We foster a culture of continuous improvement, where every team member is encouraged to contribute ideas and drive impactful projects. As a Lead DevOps Engineer, you will play a pivotal role in shaping the evolution of our infrastructure and operational efficiency. What You ll Do: CI/CD Pipelines: Lead the design, implementation, and management of CI/CD pipelines to automate and streamline deployment processes. Collaboration: Work closely with software development and IT teams to enhance workflows and ensure efficient release cycles. System Monitoring: Monitor and troubleshoot system performance to ensure high availability and reliability of applications across environments. Cloud Infrastructure: Architect and manage cloud infrastructure (AWS, Azure, GCP) for scalable, secure, and performant application environments. Automation: Automate infrastructure provisioning and configuration management using tools like Terraform, Ansible, or similar technologies. Security & Compliance: Conduct regular system audits, implement security best practices, and ensure compliance with industry standards. Mentorship: Mentor and guide junior DevOps engineers, fostering a collaborative, knowledge-sharing, and growth-focused environment. Documentation: Document processes, configurations, and standard operating procedures to enhance team efficiency and maintain operational excellence. What We re Looking For: Experience: 8+ years of experience in DevOps engineering or a related field. Cloud Expertise: Extensive knowledge and hands-on experience with cloud platforms (AWS, Azure, GCP) and associated services (EC2, S3, Lambda, etc.). Containerization: Strong experience with containerization technologies such as Docker and Kubernetes for managing microservices. Automation Skills: Proficiency in scripting languages (Python, Bash, Ruby) for automation tasks and infrastructure-as-code management. Monitoring & Logging: Familiarity with monitoring and logging tools such as Prometheus, Grafana, and the ELK stack. Problem-Solving: Excellent problem-solving skills with a proactive, solutions-oriented mindset for resolving operational challenges. Collaboration: Strong communication skills with the ability to work collaboratively across teams and influence operational best practices. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to use advanced AI technology to improve service decision-making 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 Work from home or from our vibrant Bengaluru office with flexible 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 passionate about optimizing deployment processes, improving infrastructure, and driving operational excellence, 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!

Description bout the organization: Einstein products & platform democratize AI and transform the way Salesforce builds trusted machine learning and AI products - in days instead of months. It augments the Salesforce Platform with the ability to easily create, deploy, and manage Generative AI and Predictive AI applications across all clouds. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc. We are already producing over a billion predictions per day, Training 1000s of models per day along with 10s of different Large Language models, serving thousands of customers. We are enabling customers' usage of leading large language models (LLMs), both internally and externally developed, so they can leverage it in their Salesforce use cases. Along with the power of Data Cloud, this platform provides customers an unparalleled advantage for quickly integrating AI in their applications and processes. About the team: Join the AI Cloud Quality Engineering team, and become a specialist on Salesforce's AI Platform and applications! You will be leading the Quality Engineering team as we build the best in class the AI capabilities at Salesforce. You'll get to work with latest technology in the AI space (including generative AI), and collaborate with the team and cloud to identify and run quality initiatives to support massive scale planned both in the short term and long term. We are a friendly team that has been working together for years - outside of quality, we focus on volunteering and other shared interests. Job description summary: Salesforce is seeking a highly experienced and dynamic Director of Software Engineering with a strong focus on Quality Assurance to lead our QA team within the AI Cloud division. The ideal candidate will possess extensive expertise in cross-functional team collaboration, effective negotiation skills, and a solid background in test automation. This role requires strategic planning capabilities, exceptional people management skills, and the ability to manage expectations with various stakeholders while setting out a clear roadmap for the team. You ll have the opportunity to enhance our test frameworks, work on test environment stability, and develop automation strategies for both platform and applications, including Copilots, Einstein for Service, and others. Key Responsibilities: Team Leadership and People Management: Lead, mentor, and develop a high-performing QA team within the AI Cloud division. Foster a collaborative, inclusive, and innovative team environment. Conduct regular performance reviews, provide constructive feedback, and facilitate professional growth for team members. Cross-Functional Collaboration: Partner closely with development, product management, and other departments to ensure the integration of robust QA processes within AI Cloud initiatives. Facilitate effective communication and collaboration across teams to identify and resolve quality issues promptly. Test Automation Management: Oversee the development, implementation, and maintenance of test automation frameworks and tools tailored for AI Cloud products. Ensure comprehensive test coverage and optimize testing processes for efficiency and effectiveness. Stay updated with the latest trends, technologies, and best practices in test automation and AI testing methodologies. Stakeholder Management: Manage expectations and communicate effectively with various stakeholders including senior leadership, product owners, and customers. Provide regular updates on QA activities, progress, and challenges, ensuring transparency and alignment with AI Cloud business objectives. Negotiate and prioritize testing efforts to align with business goals and AI product release timelines. Strategic Planning and Roadmap Development: Develop and implement a strategic QA roadmap that aligns with Salesforce AI Cloud s business objectives and product development goals. Set clear goals, milestones, and timelines for QA initiatives and projects. Continuously evaluate and enhance QA processes, methodologies, and practices to drive improvements in product quality and team efficiency. Quality Assurance and Continuous Improvement: Establish, enforce, and uphold quality standards, guidelines, and best practices across the QA team. Monitor and analyze QA metrics to identify areas for improvement and drive data-driven decision-making. Lead continuous improvement initiatives to enhance product quality, reduce defects, and improve team performance. Qualifications: Bachelor s degree in Computer Science, Engineering, or a related field; advanced degree preferred. At least 14 years of experience in a similar senior QA management role within a fast-paced, agile software development environment. Strong expertise in test automation tools and frameworks (e.g., Selenium, JUnit, TestNG). Excellent leadership and people management skills with a track record of building and leading high-performing teams. Exceptional communication and negotiation skills, with the ability to manage expectations and influence stakeholders at all levels. Strong analytical and problem-solving abilities, with a focus on data-driven decision-making. Experience in managing cross-functional teams and collaborating with various stakeholders to achieve common goals. Ability to develop and implement strategic plans and roadmaps. Familiarity with CI/CD pipelines and DevOps practices is a plus. Experience with AI technologies, large language models (LLMs), and tools like AWS SageMaker is preferred but not mandatory. Knowledge of Salesforce products and platforms is a significant advantage. Salesforce is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive...