Top Machine Learning Jobs in India

Design, develop, train, and evaluate ML, DL, and Generative AI models; prepare and manage data; run experiments and POCs; build and deploy AI services/APIs using containerization and cloud platforms; collaborate with data engineering and business teams and ensure data governance and compliance.

The Staff AI Scientist will design and develop agentic AI systems and RAG applications, conduct AI research, and lead projects from prototyping to deployment in a cross-functional team context.

Lead and manage an AI/ML engineering team to design, develop, deploy, and monitor production ML models (including LLMs and RAG). Collaborate with stakeholders to translate business problems into data-driven solutions, ensure code quality, maintain data integrity and privacy compliance, and promote data literacy across the organization.

Diagnose full technology stack performance issues, tune web applications and databases, interpret technical data to identify trends, liaise with clients to resolve customer-impacting problems, and collaborate with Account Escalation teams to ensure timely resolution.

Lead model governance and monitoring for private asset full-revaluation models, develop and scale quantitative risk methodologies, collaborate across teams, mentor junior modelers, and deliver production-ready analytics supporting portfolio and risk managers.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

Perform static and dynamic malware analysis, develop detections and protections, analyze IOCs, validate AI/ML outputs, build automation tools, and publish threat research.

Lead and grow teams building AI infrastructure systems. Ensure reliability and performance of AI workloads, define technical directions, and manage engineering quality while collaborating across functions.

Design, develop, deploy, and maintain AI-powered solutions (LLMs, generative models, chatbots, predictive analytics). Provide technical leadership, ensure responsible AI and regulatory compliance, integrate AI into cloud-hosted production systems, mentor teammates, and drive operational excellence.

Senior software engineer responsible for designing, developing, deploying, and maintaining scalable, highly available backend services. Lead architectural decisions, mentor junior engineers, own production systems, contribute to testing and automation, and collaborate with product and client teams to solve complex problems across distributed systems and data platforms.

Lead the design and development of AI solutions for medical applications, focusing on NLP technologies and machine learning techniques for information extraction and synthesis.

The Principal Data Scientist will lead the development of advanced AI solutions for medical applications, enhancing NLP technologies and implementing deep learning techniques. Responsibilities include training large language models and collaborating with teams to deliver production-grade models.

The Senior Information Security Engineer leads incident response, conducts investigations, provides security consulting, and implements security solutions while collaborating to enhance data analytics capabilities.

The Senior AI & Data Scientist will develop and deploy pricing models using machine learning, optimize model performance, and collaborate with teams to refine pricing strategies across global operations.

The Associate Software Engineer will develop and improve Aviation Operational Efficiency Software, collaborating with cross-functional teams and engaging in Agile practices.

The Lead Software Engineer will build backend services for AI features, integrate generative AI technologies, ensure quality, and collaborate with teams while mentoring junior engineers.

Design and deliver production-grade GenAI systems and agents for Telecom OSS/BSS: build RAG pipelines, train and optimize LLM/SLM models, deploy scalable Python services/APIs, and integrate cloud-native ML solutions to drive automation, intelligence, and decisioning at scale.

The role involves designing and implementing machine learning tools for data analysis, developing pipelines for various sensor datasets, and integrating applications into verification ecosystems while guiding junior engineers.

The Associate Business Support Specialist role involves implementing space planning, managing employee services, coordinating operations, overseeing asset management, and ensuring safety protocols. The position requires collaboration across functions and effective communication skills.

Seek an experienced Enterprise Sales Representative to sell IGA Solutions to organizations, engaging with C-level in a lengthy sales cycle using the Challenger sales methodology.

Responsible for product roadmap and governance of GenAI visualization and conversational analytics. Lead development and integration of analytics products in the financial sector.

Role focuses on developing tools for value quantification using analytics and AI, managing data, and collaborating across teams to enhance customer engagement and drive business outcomes.

The Senior Data Scientist will leverage machine learning and NLP to enhance data insights, improve decision-making, and deliver scalable AI/ML systems, collaborating with global teams for product integration and following best practices in model performance.

The Specialist Generative AI will develop and integrate generative AI solutions into enterprise applications, ensuring compliance with IT security standards and optimizing AI performance.

The role involves leading a QA team, managing testing phases, collaborating with stakeholders, analyzing metrics, and promoting quality culture.