Top Machine Learning Jobs in India

The Senior Data Analyst will leverage data to inform strategic decisions, analyze complex datasets, develop predictive models, and communicate insights to stakeholders.

The Software Engineering Lead Analyst configures and optimizes SAP FTM processes, ensuring compliance and seamless cross-functional integration while driving continuous improvement.

As a Vice President Data Analyst at Citi, you will lead a team in developing advanced data analytics solutions, integrating AI/ML strategies for risk management, while ensuring data governance and delivering impactful presentations to stakeholders.

The Machine Learning Engineer will design, deploy, and maintain ML models, collaborate with stakeholders, and ensure robust monitoring and performance of solutions.

The role involves developing agentic AI products using LangChain and LangGraph, designing memory management systems, managing AI systems, leading a team, and overseeing operations and performance feedback processes.

This entry-level role offers exposure to data engineering, analytics, and predictive modeling, collaborating with teams to solve real-world problems using data.

Lead end-to-end SAP S/4HANA implementations, manage data migration, conduct testing, and provide training. Collaborate with stakeholders for project success.

As an Analytics Intern, you'll develop algorithms and data pipelines while exploring data solutions in the Aerospace domain, and communicate findings effectively.

The Staff AI Scientist will lead advanced AI research and development, focusing on machine learning techniques and deploying effective AI solutions in business contexts. Responsibilities include algorithm design, model optimization, and ensuring responsible AI practices.

The role involves developing enterprise applications using Java and Spring, integrating AI features, mentoring junior developers, and collaborating with cross-functional teams.

The role involves leading complex engineering programs, managing project timelines, stakeholder communications, and driving product success through a collaborative approach.

As a Machine Learning Engineer at eBay, you'll build data pipelines and ML models, optimize software performance, and collaborate across teams to deliver impactful solutions.

The Data Scientist will analyze and model data for ML systems, focusing on Personalization and Recommendation Engines, and collaborate with teams to enhance data-driven solutions.

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.