Top Machine Learning Jobs in India

Lead a team of data scientists in developing and deploying machine learning models, ensuring code quality, documentation, and smooth industrialization of projects.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

The Analytics Product Manager will lead the delivery of enterprise logistics analytics solutions by collaborating with business and technical teams to define products, manage the roadmap, and ensure data quality and governance.

The Principal Machine Learning Engineer will drive the development and deployment of ML and GenAI-powered solutions in a cloud-native environment, manage project timelines, and ensure the adoption of MLOps best practices.

The role involves designing and implementing innovative solutions for complex business problems utilizing AI, machine learning, and cloud technologies. Responsibilities include collaborating with stakeholders, ensuring security and resiliency of solutions, and leading teams to achieve operational effectiveness.

The AI Engineer will design, develop, and operationalize Generative AI solutions, ensuring they meet business value, reliability, and scalability needs, while mentoring team members and collaborating across businesses.

The Sr. Staff ML Engineer will develop ML models for safe robot operation, integrating algorithms to enhance robotic perception and behavior in environments with humans.

As a Process Analyst, validate and improve AI-generated process maps, assess quality, and collaborate with stakeholders to enhance product offerings.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

The Account Executive will drive national revenue growth for large enterprise accounts, lead complex multi-stakeholder engagements, and build relationships with senior leadership, focusing on digital transformation initiatives in the manufacturing sector.

The Account Executive will drive national revenue growth in large enterprise accounts, manage multi-stakeholder engagements, and mentor a sales team for digital transformation initiatives.

Assist in defining product requirements, engaging with teams, and conducting end-user research for an AI-based product. Communicate insights and metrics effectively.

The consultant helps in AI project scoping, requirement gathering, business process analysis, and ensures alignment of AI projects with strategic objectives and user needs.

The Staff Data Scientist will design and implement machine learning systems, optimize customer engagement workflows, and collaborate with cross-functional teams to develop machine learning applications from research to production.

As a ServiceNow Architect/Lead Developer, you will design, develop, and oversee the ServiceNow platform, ensuring high standards, governance, and optimal performance, while leading technical teams and collaborating with stakeholders to meet business objectives.

As an ML Engineer, you will design, experiment, and deploy AI/ML models, evaluate their performance, and leverage Python and SQL.

Lead development and productionization of LLM and GenAI solutions using LangChain, fine-tuning, and RAG. Write PEP8-compliant Python, containerize with Docker, ensure production-quality code and testing, apply ML/DL methods (e.g., XGBoost, K-means), and support deployments via terminal and version control.

As a Lead AI Engineer, you'll manage a team, develop AI algorithms, integrate solutions, and provide technical leadership while staying updated on AI trends.

Build and maintain systems for data collection, storage, processing, and analysis. Collaborate with data scientists and lead team efforts in delivering effective solutions.

The role involves shaping the technical direction of a core domain, leading architectural design, ensuring system security and scalability, and embedding AI in developer workflows while supporting various engineering teams.

As a Lead Data Scientist, you'll develop innovative retail measurement solutions, lead research projects, and collaborate with teams to optimize data models.

The AI Knowledge Architect will lead AI knowledge systems, establish frameworks, maintain a skill catalogue, drive cultural change, and collaborate cross-functionally at Euromonitor.

The Associate Director will lead the Analytic Risk & Quality team to enhance the quality of analytic products, assess risks, and ensure compliance with regulations. Responsibilities include strategy development, quality monitoring, stakeholder management, and promoting data integrity in energy analytics.

The Sr Manager in AI will lead teams delivering scalable AI platforms, overseeing product delivery, strategic planning, team development, and collaboration with executives, while fostering a positive team culture.