Top Machine Learning Jobs in India

Designs, implements, and optimizes generative AI and deep learning solutions (NLP, speech, vision). Collaborates with cross-functional teams, ensures data quality, performs research, and documents models and prompt-engineering best practices for production-ready deployments on cloud platforms.

As an AI/ML Engineer, you'll develop applications leveraging AI tools and Cloud AI services, applying deep learning and neural networks while collaborating on innovative solutions.

Develop AI applications using GenAI models, ensuring production quality. Collaborate with teams to define AI project goals and optimize models. Lead prompt engineering strategies and implement NLP techniques for improved AI performance.

The LLM Operations Engineer will design, develop, and deploy AI solutions, focusing on scalability and compliance in operations. Responsibilities include leading AI solutions and integrating insights into enterprise workflows, ensuring operational effectiveness.

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 technical product strategy and delivery for data, analytics, and AI products in supply chain. Define solution architectures, govern engineering delivery, lead cross-functional teams (data engineering, knowledge graph, applications, analytics), and drive adoption of GenAI and enterprise knowledge graph solutions to improve supply chain transparency, reliability, and speed. Manage stakeholders, vendors, roadmaps, governance, and continuous improvement to deliver measurable business outcomes.

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.

Design, build, and operate enterprise AI systems and platforms for LLMs, RAG, and agentic AI. Lead architecture, MLOps/LLMOps pipelines, model deployment, scalable backend services, observability, and governance. Mentor teams and integrate AI capabilities into enterprise applications while ensuring reliability, security, and compliance.

Lead end-to-end delivery of AI/ML programs: define roadmaps, manage cross-functional teams, ensure production reliability and compliance, govern responsible AI, control costs, and deliver measurable business outcomes.

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.

Design, build, deploy, and scale enterprise AI/ML and Generative AI systems. Implement MLOps/LLMOps, data pipelines, model training/deployment, monitoring, and integrations (APIs, microservices). Operationalize LLMs, RAG, agentic workflows, and optimize for performance, reliability, and cost while ensuring governance and Responsible AI compliance.

Design, build, and productionize generative AI/NLP solutions (LLMs, RAG, agents) for enterprise healthcare use cases. Develop, fine-tune, and optimize models, implement ingestion/embedding/vector DB pipelines, establish evaluation/monitoring and responsible AI controls, and collaborate with product and platform teams to deploy scalable, observable ML systems.

Lead the design and delivery of AI platforms, manage technical teams, ensure security, and mentor talent in a cloud environment.

The AI Recruiter will manage the entire recruitment process for AI-related roles, collaborate with stakeholders on hiring strategies, and maintain a talent pipeline.

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.

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 product management for data & analytics solutions in Sustainability, coordinating with stakeholders and ensuring successful implementation and enhancement of solutions.

Lead the product management for data & analytics solutions, coordinating between business stakeholders and IT to deliver scalable, high-value solutions and ensuring ongoing enhancement and user adoption.

As a Data Scientist, you will drive data science initiatives, develop algorithms and models, and collaborate with stakeholders to enhance business performance, focusing on creating data-driven solutions and optimizing decision-making processes.

Lead product management for data & analytics solutions in Sales & Finance, coordinating between stakeholders and IT for scalable solution designs while overseeing implementation and enhancements.

Lead product management for data and analytics solutions in Supply Chain Management. Coordinate with stakeholders, conduct implementation, manage adoption, and enhance solutions based on business needs.

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.

Develop and optimize machine learning models for demand forecasting and planning using various AI techniques while collaborating with project teams to ensure successful delivery.

The AI Solutions Engineer role involves deploying AI tools, optimizing AI agents, improving workflows with AI, integrating systems, and training users on AI solutions.

Lead the ML function for InMobi by architecting and building production machine learning systems, optimizing marketing spend, and driving performance in ad-tech.