Job Title: AI Engineer Company: OATI Job Category: Machine Learning Roles & Responsibilities: The Open Access Technology International (OATI) is seeking motivated individuals to join our AI Engineering team supporting power‑system applications. This role provides the opportunity to apply foundational machine‑learning and programming knowledge to real‑world energy‑sector challenges under the guidance of senior engineers and researchers. Responsibilities * Assist in developing machine‑learning and neural‑network models for forecasting, anomaly detection, Text‑to‑SQL tasks, and data‑driven analysis. * Support the development and deployment of agentic AI components using frameworks such as LangChain and LangGraph. * Assist in implementing retrieval‑augmented generation (RAG) pipelines that integrate external knowledge sources and vector databases. * Support fine‑tuning and evaluation of large language models using supervised techniques such as PEFT/LoRA and prompt‑engineering strategies. * Assist in implementing Model Context Protocol (MCP) communication and long‑term memory mechanisms for AI agents. * Support model deployment, monitoring, and maintenance using tools such as MLflow and distributed inference frameworks. * Participate in data preparation, preprocessing, experimentation, and evaluation workflows. * Collaborate with researchers, engineers, and data scientists to integrate models, validate results, and support product‑development activities. Work Location: Mohali district, India Availability: Full time

Job Title: Data Scientist - AI Company: LSEG Job Category: Machine Learning Roles & Responsibilities: Future Talent: Data Scientist / Lead Data Scientist - AI (Talent Community – India) Location: Bengaluru By joining our AI talent network, you'll gain insight into our engineering culture, AI innovation strategy, and future opportunities while positioning yourself for accelerated consideration when relevant roles become available. * Develop and deploy production-grade AI and machine learning solutions using modern Generative AI technologies such as OpenAI, Gemini, and other advanced LLM platforms. * Design data-driven models that solve complex business and customer challenges. * Apply statistical and machine learning techniques to extract insights from large-scale datasets. * Tune, evaluate, and enhance AI models to improve accuracy, scalability, efficiency, and business impact. * Assess emerging AI technologies and third-party solutions against functional and non-functional requirements. * Establish and maintain strong model evaluation, monitoring, and governance standards. Lead & Grow * Drive technical excellence through coding standards, model governance, and knowledge sharing. * Mentor peers and contribute to data science communities, innovation forums, and technical discussions. * Support the adoption of modern AI engineering and MLOps practices. * Understanding of software engineering principles and maintainable code practices. * Familiarity with DevOps, CI/CD, model deployment, testing, and monitoring practices. * Ability to balance innovation with scalability, reliability, and security requirements. * Build With Purpose – Start with why. Focus on outcomes and measurable impact. * Customer Driven – Work backwards from customer needs and feedback. * Technically Courageous – Solve difficult problems and challenge conventional thinking. * Learn and Be Curious – Continuously explore emerging technologies and AI advancements. * Act as Owner – Take accountability for long-term value creation. * Lead with Data – Use evidence and insights to drive decision-making. * Collaborate to Achieve – Work inclusively across disciplines and teams. * Data Science and Machine Learning fundamentals * Python programming and problem-solving skills * AI / Generative AI expertise * Applied business problem solving * Communication and stakeholder management * Alignment with our engineering principles and values * The Data Science or AI challenges you enjoy solving. * Areas of interest such as Machine Learning, Generative AI, NLP, Computer Vision, MLOps, Data Engineering, or AI Platform Development. * Preferred location and career aspirations. Industry leadership : This is an opportunity to be a founding member of the organization that’s delivering brand-new products that democratize modeling and analytics solutions. We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take a hybrid approach to the workplace; this role is considered ‘Blended’, which requires attending the office at least three day per week while some teams and colleagues choose to collaborate in the office more frequently. We're proud to have been recognised as a Great Place to Work® in India ‘25 Career Stage: Manager LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Senior Machine Learning Engineer Company: S&P Global Job Category: Machine Learning Roles & Responsibilities: About The Role Grade Level (for internal use): 03 Who We Are- Kensho is S&P Global’s hub for AI innovation and transformation . With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P Global and its customers worldwide. Our solutions help businesses harness the power of data and Artificial Intelligence to innovate and drive progress. Kensho's solutions and research focus on Generative AI, LLM Agents, speech recognition, entity linking, document extraction, text classification, natural language processing, and more. At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful. About The Team We are looking for a Senior ML Engineer to join the group of Machine Learning Engineers working on developing a cutting-edge GenAI platform, LLM-powered applications, and fundamental AI toolkit solutions such as Kensho Link. We are looking for talented people who share our passion for bringing robust, scalable, and highly accurate ML solutions to production. About The Role As a Senior ML Engineer, you will work across a broad set of machine learning areas at Kensho. This includes building retrieval-driven AI agents that ground LLM outputs in trusted S&P data, as well as developing and operating production-grade machine learning systems that power our essential AI toolkits like Kensho Link or NERD. Across these areas, your focus will be on creating reliable, scalable, and transparent ML solutions that deliver real value to users. This Role Is Ideal For Engineers Who You will partner with ML engineers, backend engineers, and product managers to drive the next generation of Kensho’s AI products. Why Join Us? Kensho is expanding its portfolio of ML-powered products, and we are looking for engineers who are excited to build and deploy state-of-the-art ML systems at scale. You will have the opportunity to influence key architectural decisions, experiment with new approaches, and accelerate the pace at which we prototype, develop, and maintain high-impact ML solutions. We are seeking a mid-to-senior level Machine Learning Engineer who can help elevate and streamline our ML development lifecycle, setting a high bar for excellence in modeling, deployment, and production operations. * Develop Advanced ML Systems: Create, refine, and deploy machine learning systems that solve complex business problems and power Kensho products. * Build Retrieval-Driven AI Agents: Design AI agents that fetch, validate, and structure data from S&P datasets, ensuring answers produced by LLMs are grounded in S&P’s data universe. * Evaluate LLM-based Agents: Identify and resolve performance gaps in both online and offline settings, addressing issues such as performance, latency, memory usage, compute efficiency, and feature consistency. * Work With Domain Specific Data: Leverage proprietary structured and unstructured datasets, deep dive to have domain understanding, work with Subject Matter Experts (SMEs). * Scale ML Applications: Optimize and scale ML systems to support high demand, efficient resource utilization, and reliable production behavior. * Reduce Technical Debt: Proactively identify areas of the stack that can be improved, and propose solutions that strengthen reliability and maintainability. * Taking Initiative: Scope, plan, and execute ML initiatives that develop core capabilities across Kensho products. * Collaborate Across Teams: Work closely with Data, Product, Design, and Engineering teams to ensure smooth operations and contribute to long-term product vision. * Improve User Experiences: Partner with Product and Design to develop ML-driven functionality that enhances user workflows and aligns with business needs. * Drive the ML Lifecycle: Engage in all phases of the ML lifecycle, from problem framing and data exploration to model deployment and production monitoring, ensuring continuous improvement. Our Values Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Data Scientist Company: Xenonstack Job Category: Machine Learning Roles & Responsibilities: Job Description ------------------- ABOUT THE ROLE We are looking for a Data Scientist with strong expertise in statistical analysis, machine learning, predictive modelling and Python. You will build end-to-end data science solutions on real-world data and turn business problems into measurable, data-driven outcomes, working with data engineers, AI/ML engineers, software developers and business stakeholders to design, evaluate and operationalise machine learning models. ROLE MISSION KEY RESPONSIBILITIES * Analyse complex structured and unstructured datasets to find patterns, trends and business opportunities. * Build machine learning models for classification, regression, clustering, forecasting, anomaly detection and recommendation. * Perform exploratory data analysis, feature engineering, data preprocessing and feature selection. * Apply statistical techniques: hypothesis testing, probability distributions, regression analysis and experimentation. * Select, train, tune, validate and benchmark algorithms against appropriate baselines and evaluation metrics. * Build reusable Python data science components and reproducible modelling pipelines. * Work with engineering teams to integrate models into applications through APIs or batch workflows. * Evaluate model accuracy, reliability, interpretability and performance on real-world data; monitor behaviour and contribute to retraining and drift analysis. * Research and evaluate emerging ML, deep learning and Generative AI techniques for relevant business problems. * Communicate findings, technical trade-offs and recommendations clearly to stakeholders. * Models that beat a clear baseline on agreed metrics and hold up on real-world data. * Pipelines that are reproducible: anyone on the team can retrain and get the same result. * Models integrated into products or workflows, with monitoring for drift and performance. * Stakeholders who understand what a model does, how well it works, and what value it delivered. * Python and data: strong hands-on Python; NumPy, Pandas, Scikit-learn and visualisation libraries; strong SQL (joins, aggregations, CTEs, analytical queries); handling missing values, outliers, imbalanced and large datasets. * Statistics and mathematics: probability, statistics, linear algebra and optimisation; hypothesis testing, significance, confidence intervals and regression analysis. * Machine learning: supervised and unsupervised learning; regression, classification, decision trees, random forests, gradient boosting and clustering; time-series forecasting; feature engineering, hyperparameter tuning, model selection and cross-validation; overfitting, regularisation, data leakage and generalisation; metrics such as precision, recall, F1, ROC-AUC, MAE, RMSE and R². * Software engineering and production: reusable, maintainable Python; Git and unit testing; model integration through REST APIs; exposure to deploying, maintaining or monitoring models in production. Agency – Be self-directed and proactive | Taste – Sweat the details and build with precision | Ownership – Take responsibility for outcomes | Mastery – Commit to continuous learning and growth | Impatience – Move fast and challenge inertia | Customer Obsession – Always put the customer first Work Location: PB, India Availability: Full time

Job Title: Data Scientist Company: Hanumant Technology Pvt. Ltd. Job Category: Machine Learning Roles & Responsibilities: Job Description – Data Science This is a full-time job opportunity, not a training course. The role and responsibilities will depend on the candidate’s skills and experience. Work Location: In person Work Location: UP, India Availability: Full time

Job Title: Data Engineer & AI Tech Lead - Contract Role Company: Innowave Job Category: Machine Learning Roles & Responsibilities: We are looking for a versatile, hands-on Data Engineer & AI Tech Lead to work with a strategic energy client in Singapore. The role focuses on designing, building, and evolving the client's data platform using Databricks and Microsoft Fabric on Microsoft Azure, while extending into AI engineering, software development, and business process automation. This role requires a strong combination of technical expertise, architectural thinking, and problem-solving skills. You will work closely with client stakeholders to understand business challenges, design scalable solutions, and deliver them end to end—from data pipelines and platform architecture to AI-driven applications, APIs, and automation. As a trusted technical partner to the client, you will take ownership of complex technical challenges, recommend the right solutions, and drive implementation while ensuring quality, scalability, security, and business value. Key Responsibilities 1. Data Engineering & Platform Development * Design, build, and maintain scalable data platforms and pipelines using Azure Databricks and Microsoft Fabric. * Develop robust ETL/ELT pipelines to ingest, transform, process, and integrate data from multiple sources. * Implement data lakehouse architectures, data modelling, and data transformation frameworks. * Work with Python, PySpark, and SQL to process large datasets efficiently. * Establish data quality checks, validation frameworks, monitoring, and error-handling mechanisms. * Optimise data pipelines, queries, and platform performance while managing costs. * Implement data governance, security, access controls, and best practices for enterprise data management. * Identify opportunities to apply AI, machine learning, and generative AI to address business challenges. * Design and develop AI-powered solutions, including intelligent applications, predictive models, and workflow automation. * Integrate AI capabilities into existing data platforms and business applications. * Work with large language models (LLMs), retrieval-augmented generation (RAG), and AI orchestration frameworks where applicable. * Develop proof of concepts and translate successful experiments into production-ready solutions. * Evaluate AI solutions for accuracy, reliability, scalability, security, and business impact. 3. Software Engineering & API Development * Design, develop, and maintain APIs, backend services, and applications to support business requirements. * Build reusable, maintainable, and well-tested software components using Python and relevant frameworks. * Integrate data platforms, AI services, and enterprise applications through APIs and event-driven architectures where appropriate. * Develop automation solutions to streamline business processes and reduce manual effort. * Follow software engineering best practices, including version control, code reviews, testing, CI/CD, and documentation. 4. Technical Leadership & Solution Architecture * Lead technical discussions and provide hands-on guidance across data engineering, AI, and software development. * Translate business requirements into technical designs, solution architectures, and implementation plans. * Make informed technology and architecture decisions, balancing scalability, maintainability, performance, and cost. * Establish coding standards, development practices, and engineering quality benchmarks. * Mentor team members and collaborate with cross-functional teams to solve complex technical problems. * Take ownership of technical delivery, proactively identify risks, and drive issues through to resolution. * Work directly with client stakeholders to understand business objectives, technical challenges, and priorities. * Act as a trusted technical advisor, recommending practical solutions that deliver measurable business value. * Manage requirements through solution design, development, testing, deployment, and continuous improvement. * Communicate technical concepts clearly to both technical and non-technical stakeholders. * Adapt to evolving client needs and take ownership of initiatives across data, AI, APIs, and process automation. * Strong professional experience in data engineering, with hands-on expertise in designing and implementing enterprise-scale data platforms. * Proven experience with Microsoft Azure, Azure Databricks, and Microsoft Fabric. * Strong programming skills in Python and experience with PySpark and SQL. * Experience building and maintaining complex ETL/ELT pipelines and data integration solutions. * Good understanding of data lakehouse architecture, data warehousing, data modelling, and distributed data processing. * Experience with Azure services for data storage, orchestration, integration, and analytics. * Practical knowledge of AI/ML concepts and experience developing or integrating AI-powered solutions. * Experience developing REST APIs, backend services, and software integrations. * Familiarity with CI/CD pipelines, Git, automated testing, and DevOps practices. * Strong analytical, troubleshooting, and problem-solving skills. * Excellent communication skills and the ability to engage directly with client stakeholders. * Ability to work independently, take ownership, and deliver solutions in a dynamic client environment. Work Location: KA, India Availability: Full time

Job Title: Software Engineer Company: Bayer Job Category: Machine Learning Roles & Responsibilities: * A software engineer delivers software components that form part of a product. Individuals in this role will: Develop software to meet user needs Follow best practice guidelines and help to improvethose guidelines Write clean, secure, and well-tested code Coach and mentor more junior colleagues Operate the services they build and identify issues in production YOUR TASKS AND RESPONSIBILITIES: * Programming and Build Collaborate with others when necessary to review user stories and code and develop implementation approaches * Use the agreed implementation approaches to design, code, test, and document programs or scripts of medium-to-high complexity, using the right standards and tools Systems Design Translate logical designs into physical designs Produce detailed designs * Effectively document all work using required standards, methods, and tools, including prototyping tools where appropriate * Design systems characterized by managed levels of risk, manageable business and technical complexity, and meaningful impact * Work with well understood technology and identify appropriate patterns Systems Integration Build and test simple interfaces between systems * Work on more complex integration as part of a wider team * Develop instrument interfaces using LabVantage SDMS Modern Standards Approach Competently apply a modern standards approach and guide others to do so Information Security Maintain a strong understanding of information security Design solutions and services with security controls embedded, specifically engineered with mitigation of security threats as a core feature. * Prototyping Approach prototyping as a team activity, actively soliciting prototypes and testing with others Establish design patterns and iterate them * Use a variety of prototyping methods and choose the most appropriate Service Support Help fix faults following agreed procedures * Carry out maintenance tasks on infrastructure User Focus Collaborate with user researchers and represent users internally * Explain the difference between user needs and the desires of the user Champion user research to focus on all users * Prioritize and define approaches to understand the user story, guiding others in doing so Offer recommendations on the best tools and methods to use Availability and Capacity Management Manage service components to ensure they meet businessneeds and performance targets * Key Working Relations Product Managers UX Designers Data Scientists Data Architects Data Engineers Data Stewards Enterprise Architects Software Engineers Relevant business leaders and stakeholders * Strong understanding of software development lifecycle and software development methodologies (e.g., Agile, Scrum) * Ability to write clean, maintainable, and efficient code * Familiarity with integrated development environments (IDEs) like Visual Studio, IntelliJ Idea or Eclipse * Knowledge of software development tools and practices, including continuous integration and continuous deployment (CI/CD) * Understanding of database management and SQL * Expertise in a specific area such as machine learning, cybersecurity, or mobile development * Ability to lead and mentor junior developers Ever feel burnt out by bureaucracy? Us too. That's why we're changing the way we work- for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here Work Location: KA, India Availability: Full time

Job Title: Senior Data Scientist Company: ZF Group Job Category: Machine Learning Roles & Responsibilities: Job description: Job Description •    Familiar with implementing RAG (Retrieval-Augmented Generation) architecture for sophisticated AI applications Why you should Choose ZF Group in India : •    Innovation and Technology Leadership: ZF is at the forefront of technological advancements, offering a dynamic and innovative work environment that encourages creativity and growth. •    Diverse and Inclusive Culture: ZF fosters a diverse and inclusive workplace where all employees are valued and respected, promoting a culture of collaboration and mutual support. •    Career Development: ZF is committed to the professional growth of its employees, offering extensive training programs, career development opportunities, and a clear path for advancement. •    Global Presence: As a part of a global leader in driveline and chassis technology, ZF provides opportunities to work on international projects and collaborate with teams worldwide. •    Sustainability Focus: ZF is dedicated to sustainability and environmental responsibility, actively working towards creating eco-friendly solutions and reducing its carbon footprint. •    Employee Well-being: ZF prioritizes the well-being of its employees, providing comprehensive health and wellness programs, flexible work arrangements, and a supportive work-life balance. Work Location: Chennai, Tamil Nadu, India Availability: Full time

Job Title: AI Engineer Company: Dun & Bradstreet India Job Category: Machine Learning Roles & Responsibilities: The AI Engineer II will design, implement, and deploy production-ready AI solutions that enable intelligent automation and strengthen business capabilities. The role focuses on building modular, scalable agentic applications using open-source and proprietary large language models, with hands-on implementation using LangChain. The AI Engineer II will develop reusable components, data pipelines, retrieval capabilities, and performance optimization strategies while partnering with business, product, data, and technology teams Key Responsibilities: * Design, implement, and deploy AI agents and generative AI solutions using Python, with hands-on use of LangChain and related orchestration frameworks. * Build modular, scalable, and reusable agent components, including memory, planning, tool use, retrieval, and multi-modal capabilities. * Develop retrieval-augmented generation (RAG) solutions using embeddings, vector databases, and enterprise data sources. * Integrate open-source and proprietary large language models and evaluate the appropriate model for each business use case. * Collaborate with Research, Managed Services, product, data, and technology teams to translate business needs into practical AI solutions. * Prototype and evaluate agent behaviors, prompt strategies, learning approaches, and tool-calling workflows. * Build and maintain scalable data pipelines and APIs that support AI development, evaluation, deployment, and monitoring. * Benchmark solution performance, identify bottlenecks, and implement improvements for quality, reliability, latency, and cost. * Implement observability, testing, evaluation, guardrails, and monitoring to support reliable and responsible AI delivery. * Maintain CI/CD and MLOps/LLMOps practices for controlled and repeatable delivery of AI capabilities. * Follow data governance, security, privacy, and intellectual property requirements throughout the solution lifecycle. * Communicate technical concepts clearly to both technical and non-technical stakeholders and contribute to knowledge sharing Work Location: Hyderabad, Telangana, India Availability: Full time

Job Title: Manager - Analytics Company: Pitney Bowes Job Category: Machine Learning Roles & Responsibilities: Job Description: Join Pitney Bowes as Manager - Analytics Role Overview We are seeking a Manager – Analytics & Data Strategy to lead the evolution of our analytics capabilities into a scalable, governed, and insight-driven ecosystem. This role owns end-to-end analytics delivery—spanning data modeling, reporting frameworks, and advanced analysis—to drive high-impact business decisions across SendTech. You will act as a strategic partner to business leaders, ensuring data is reliable, accessible, and actionable, while building a strong analytics foundation to support future advanced initiatives. Key Responsibilities * Partner with senior stakeholders to drive data-informed decision making and translate business problems into analytical solutions * Lead and mentor a team of junior data analysts to deliver high-quality client data insights * Own and standardize end-to-end reporting frameworks and business-critical Power BI dashboards * Design and manage scalable data models across multiple data sources in Snowflake ecosystem * Ensure data quality, governance, and performance optimization across reporting pipelines * Establish best practices for data governance, documentation, and quality * Drive automation through robust ETL/ELT pipelines and modern data stack tools * Develop and deploy machine learning models to improve forecasting and client analytics * Enable self-service analytics and improve data accessibility for business users * Collaborate cross-functionally with Product, Finance, Sales, and Marketing teams Work Location: MH, India Availability: Full time