Top Machine Learning Jobs in India

Research emerging AI developments across videos, blogs, papers, and other resources. Create accessible educational materials such as slide decks, notes, scripts, summaries, documentation, and training resources. Simplify complex concepts including RAG, LLMs, LLaMA models, and agentic workflows. Collaborate with academic and content teams to ensure accuracy, clarity, consistency, and learner engagement.

Create and deliver online and offline data science training, mentor aspiring data professionals, help students solve data problems, curate educational content, learn and evangelize new skills, and lead strategies that make data science accessible. The role requires strong machine learning, visualization, storytelling, business problem-solving, communication, and training abilities.

Assist with designing, developing, testing, and deploying machine learning models. Analyze and preprocess datasets, collaborate with data scientists, engineers, and product teams, document experiments and workflows, and conduct literature reviews to stay current with AI and machine learning research.

Collects, cleans, and analyzes large datasets; performs exploratory analysis and statistical modeling; develops predictive and classification machine learning models; writes SQL queries; creates Power BI dashboards and Excel reports; and presents findings to stakeholders while collaborating on business data solutions.

Senior embedded software engineer responsible for sustaining engineering: translate system requirements into software specs, design and implement embedded control applications, develop and run tests, produce documentation (design, test plans, FMEA), collaborate with hardware and cross-functional teams, and drive technical problem-solving for medical device products.

The Staff Software Engineer will develop AI/ML models and solutions, collaborate on design and implementation, and support R&D efforts in the healthcare industry.

Lead design and implementation of cloud-native, AI-driven security operations automation. Build scalable backend services, detection pipelines, and automated incident response using Python/Go, Kubernetes, AWS, CI/CD, Terraform, and AI/ML. Provide architectural leadership, mentor engineers, and operationalize LLMs and agentic frameworks for SOC workflows.

The Machine Learning Operations Engineer is responsible for designing and maintaining ML pipelines, ensuring efficient model deployment, monitoring model performance, and optimizing infrastructure for ML workflows.

Build and maintain scalable web crawlers to extract, validate, and structure product data from eCommerce sites. Use AI-driven techniques, browser automation, proxies, and APIs to handle dynamic content and anti-bot measures. Monitor performance, clean large datasets, collaborate with Product/Engineering/Data teams, and continuously improve crawling frameworks and automation.

As a Junior-Midlevel Developer, you will develop, maintain, and enhance an AI-powered education platform, collaborating with teams to build software and optimize performance.

Lead development and operation of Nike's multi-cloud access, entitlement, governance, and cost-optimization platform. Drive architecture, roadmap, squad leadership, SLO-driven operations, AI-assisted automation, and cross-region co-ownership while mentoring engineers and ensuring reliable, secure management plane services.

The ROR Developer will focus on software engineering practices, design, data structures, algorithms, and deliver projects with responsibility, while keeping pace with industry trends.

The Data Scientist will leverage critical thinking and data analysis skills to develop Machine Learning models for detecting financial crime risks and synthesizing data requirements.

The Customer Segment Leader will manage a team, drive business development, establish senior-level connections, and deliver revenue targets, focusing on government clients in IT.

The Customer Segment Leader for the Government Sector will manage teams and drive business development while establishing senior connections to meet revenue goals and maintain excellent service delivery.

The candidate will lead a team, develop business strategies for government clients, drive revenue, and manage stakeholder engagement.

Evaluate and author high-quality computer science content to improve AI model reasoning and accuracy. Analyze complex CS problems, create scenarios/datasets, review AI outputs for correctness, and collaborate remotely to refine guidelines and documentation.

Lead regional sales for engineering software in Gujarat: define territory strategy, own full sales cycle, build enterprise accounts in construction, manufacturing, EPC and OEMs, manage and mentor regional sales team, deliver demos/proposals, and maintain forecasts and CRM reporting.

Design and own end-to-end solution architectures, translate requirements into technical designs, evaluate technologies, define integrations, guide development and DevOps teams, conduct reviews and POCs, support pre-sales, and ensure compliance with ISO standards.

Lead analytics function: define data strategy, ensure data quality, perform advanced statistical and ML analysis, build dashboards (Tableau/Superset/Power BI), provide actionable insights to stakeholders, collaborate across growth/risk/CRM/product, and drive continuous improvement in analytics practices.

Lead end-to-end sales for AWS-based data and analytics solutions in the Indian BFSI market. Identify and pursue net-new opportunities, engage stakeholders, collaborate with AWS partners, and deliver consultative solution selling to meet revenue targets.

Drive sales of CCTech digital transformation solutions to AEC, construction, and infrastructure clients. Prospect and manage pipeline, conduct discovery and solution positioning, support pre-sales workshops and proposals, collaborate with engineering teams, and develop strategic accounts focused on BIM, digital twin, automation, analytics, and enterprise integrations.

Design, develop, and deploy machine learning and optimization solutions. Build end-to-end data science pipelines (data prep, training, validation, deployment), implement MLOps for monitoring and versioning, and deploy scalable models on Azure or Oracle Cloud. Collaborate with engineering, product, and business teams, translate requirements into analytics solutions, and ensure data quality, reproducibility, and model performance. Mentor juniors and lead projects, with a preference for manufacturing or supply chain use cases.

Lead end-to-end sales in the Indian BFSI market, driving net-new AWS-centric data and analytics opportunities. Leverage AWS Partner ecosystem, build stakeholder relationships, collaborate with pre-sales and delivery teams, and deliver consultative solution selling to achieve revenue targets.

Lead the 0-to-1 development of an AI-first CRM for credit unions: define vision and roadmap, perform customer research, write requirements and user stories, drive AI/ML feature integration, lead engineering and design through launch, and measure product success using data.