Top Machine Learning Jobs in India

Develop and deploy machine learning models from data collection and preprocessing through production deployment. Responsibilities include selecting algorithms, exploring and validating data, feature engineering, data augmentation, model training and tuning, error analysis, hardware selection, and ensuring model performance and latency meet business objectives.

Develop and deploy AI and machine learning solutions, including model design, data analysis, NLP, computer vision, system integration, infrastructure management, testing, and maintenance. Collaborate with data scientists and engineering teams to embed AI into business systems, align initiatives with organizational goals, and recommend improvements based on emerging AI trends.

Analyze satellite, air-quality model, and regulatory monitoring data using statistical and machine learning methods. Develop software and web-based tools, perform forecast bias correction, and produce research reports, policy briefs, publications, and actionable insights. Support outreach, stakeholder engagement, conferences, workshops, and training. The role also requires managing multiple priorities, collaborating across teams, and adapting to varied responsibilities.

Conduct transport economics research on electric vehicle adoption, public transport, fiscal health, vehicle taxation, demand forecasting, and carbon pricing. Develop econometric and machine-learning models, analyze macroeconomic and mobility datasets, create dashboards and visualizations, and produce policy reports. Support stakeholder engagement, conferences, communications, presentations, and knowledge products related to sustainable mobility and India’s net-zero transport transition.

Conduct research on short- and medium-term forecasting of solar, wind, and electricity demand. Review statistical, probabilistic, and machine learning models; consult power-sector stakeholders; identify approaches to improve renewable-energy predictability; and support grid modeling, optimization, policy analysis, technical documentation, presentations, and project implementation. The role requires understanding power-system scheduling, operations, and renewable-energy regulation.

Conduct quantitative and qualitative research on electricity markets, utility digitalisation, smart meters, and high-frequency power-sector data. Responsibilities include data collection, cleaning, analysis, visualization, literature reviews, policy tracking, report and policy brief writing, and translating technical findings into actionable recommendations. The role also involves stakeholder engagement with utilities, industry, government, and civil society, plus meeting coordination, presentations, and occasional field visits.

Architect and oversee scalable, real-time software platforms for engineering simulations and operational mobility tools. Define system architecture, module boundaries, APIs, data objects, execution models, and integration traceability. Lead platforms from prototype through production, write low-level requirements, establish development and testing standards, and support ML and GenAI implementations. Analyze timing, CPU, memory, and distributed-system performance while collaborating with technical teams throughout proof-of-concept, deployment, and optimization phases.

Develop, implement, and evaluate machine learning models alongside a data science team. Responsibilities include data preprocessing, feature engineering, model training, and evaluation. This full-time, in-office internship lasts one year and includes practical industry experience, coding assessments, technical interviews, and HR interviews.

Six-month, full-time onsite software development internship in Bhubaneswar for a fresher graduating in 2026. The intern will build skills and contribute across front-end, back-end, full-stack development, cloud computing, and machine learning. The selection process includes online aptitude and personality testing, a coding test, technical interview, and HR interview. Immediate joining is preferred.

One-year, full-time, in-office internship for candidates interested in front-end, back-end, full-stack development, and machine learning. Responsibilities and training involve developing technical skills, completing coding assessments, and participating in technical and HR interviews. Applicants should hold a B.Tech in Computer Science or Information Technology, BCA, or MCA, with 0–1 years of experience or be freshers. Immediate joining is preferred.

Machine Learning Intern supporting data preprocessing, feature engineering, model training, and evaluation with the data science team. The one-year, full-time, in-office internship provides hands-on industry experience and requires ML-related projects, a relevant bachelor’s degree, and availability for immediate joining in Bhubaneswar.

Design and optimize ultra-low-latency trading systems, including real-time execution and risk infrastructure. Responsibilities include eliminating performance bottlenecks across operating systems, kernels, networking, CPU architecture, algorithms, and data structures. Collaborate with engineers and quantitative professionals to build scalable components. The role may also involve developing statistical and machine-learning-based trading strategies, implementing optimized code, and productionizing predictive models.

Lead analytics and AI consulting engagements for CPG and retail clients. Structure complex business problems, design solutions, develop proofs of concept, advise executive stakeholders, manage client relationships, and deliver analytics transformation programs. The role also includes creating data assets, driving market adoption, recruiting and developing talent, and building analytics or AI communities of practice.

Develop and test C++ software for embedded Linux automotive infotainment head units. Responsibilities include optimizing applications for x86, ARM, NEON, and CUDA architectures; designing software frameworks and interfaces; analyzing requirements; managing integration, builds, and releases; documenting designs and tests; and developing, flashing, and testing applications on embedded hardware while collaborating with internal teams, suppliers, and partners.

Develop scalable multimodal LLM agents and innovative AI solutions using RAG, semantic search, knowledge representation, tool usage, fine-tuning, and reasoning. Build evaluation and training datasets, automate model deployment, monitoring, and retraining, and implement model and data governance. Collaborate with data scientists to optimize machine learning code while contributing to product strategy and customer-focused solutions in an early-stage venture.

Design and implement Python-based automation for configuring data quality checks across vendor datasets. Use LLMs, documentation, and machine learning to identify critical fields and establish quality thresholds. Collaborate with data managers and software engineers to improve data-check coverage, resolve requirements, and support existing feeds. Develop dashboards tracking data quality coverage and compliance. The role requires enterprise Python development, Pandas-based transformations, SQL exposure, and preferably AWS, Kubernetes, S3, and Trino experience.

Lead end-to-end delivery of AI/ML programs: define roadmaps, manage cross-functional teams, ensure scalable production models, enforce governance/responsible AI, optimize costs, and deliver measurable business outcomes while contributing hands-on to AI/ML systems and research translation.

Develop and deploy machine-learning search relevance systems at scale for Databricks products. Build ML and NLP pipelines for query understanding, rewriting, retrieval, ranking, preprocessing, and evaluation. Improve search quality using LLMs, automated experimentation, and robust offline and online evaluation frameworks. Collaborate with product managers and cross-functional teams on search and discovery initiatives while contributing to open-source projects.

Develop and integrate AI and generative AI solutions in Python, including LLM-powered applications, NLP systems, machine learning models, APIs, backend services, and semantic search using embeddings and vector databases. Fine-tune and optimize models, monitor production performance, document workflows, and collaborate with data scientists, engineers, and product teams to deliver scalable AI features.

Lead design, development, and deployment of production-grade AI/GenAI and LLM solutions. Collaborate with product and engineering teams to build scalable ML systems, run experiments, optimize performance, and ensure responsible AI governance. Mentor peers and drive adoption of MLOps, infrastructure, and best practices.

Drive regional sales growth for AI-powered credit underwriting and risk assessment solutions across West India. Generate leads, manage end-to-end B2B sales cycles, build relationships with senior banking and fintech stakeholders, negotiate contracts, achieve sales targets, and provide pipeline and revenue reporting. Collaborate with product, marketing, technology, and customer success teams to align solutions with client needs and refine market positioning.

Drive regional sales growth for AI-powered credit underwriting and risk assessment solutions across banks, NBFCs, fintechs, and financial institutions. Responsibilities include lead generation, relationship building with senior decision-makers, end-to-end sales-cycle management, proposal development, negotiation, deal closure, sales target achievement, pipeline reporting, forecasting, and cross-functional collaboration with product, marketing, technology, and customer success teams.

Lead South India sales for AI-driven credit underwriting and risk assessment solutions. Develop regional sales strategy, identify and pursue new business, manage end-to-end enterprise sales cycles, negotiate contracts, and build relationships with senior banking, NBFC, fintech, and financial-services stakeholders. Collaborate with product, marketing, technology, and customer success teams to align offerings with market needs. Track sales KPIs, pipeline, forecasts, and revenue performance while providing market and competitor insights.

Manage key bank and NBFC accounts, driving cross-sell, upsell, renewals, and commercial growth for collections platforms, AI products, and services. Build consultative relationships with client stakeholders, monitor account health and satisfaction, conduct business reviews, identify risks and opportunities, and influence internal product and engineering roadmaps. Resolve operational issues, negotiate renewals, and track market, competitor, and regulatory developments.

Lead regional sales growth for AI-driven credit underwriting and risk assessment solutions across banks, NBFCs, fintechs, and financial institutions in West India. Responsibilities include prospecting, relationship development with senior decision-makers, end-to-end sales cycle management, proposal creation, contract negotiation, target achievement, pipeline forecasting, stakeholder collaboration, and providing market and customer feedback to refine product positioning.