Top Machine Learning Jobs in India

The Vice President of Product Management leads product P&L, drives innovation, collaborates with sales, and ensures quality delivery of insights and analytics products.

Support machine learning and AI model development including data preparation, exploratory analysis, and model testing using Python and SQL.

Responsible for defining and supporting product development, translating business needs into technical requirements, and collaborating with technology teams to launch new products and enhancements.

The Lead Information Security Engineer leads incident response activities, conducts security investigations, develops security solutions, and collaborates with teams to prevent cyber threats.

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.

The Senior Consultant will analyze complex manufacturing data, translating business needs into analytics solutions, collaborating with technical teams to deliver insights and report solutions, while maintaining stakeholder relationships and ensuring data quality.

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.

Manage verification for complex DRAM design projects, develop methodologies, lead teams, provide technical advice, and enhance AI-driven verification processes.

The Clinical Data Manager oversees clinical trial databases, ensuring data quality through management, validation, and reporting, while utilizing AI and analytics tools.

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

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

Collaborate with architects to implement machine learning models, evaluate systems, retrain models, provide support, and document procedures.

The Senior Data Scientist will design, develop, and deploy AI solutions in healthcare, focusing on ML/NLP applications and improving clinical outcomes.

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 role involves building and maintaining large-scale ML systems, collaborating with data scientists, and solving complex challenges in cybersecurity.

Lead the execution of data-driven modeling and analytics solutions for Technology Development, applying advanced data analysis and machine learning, while mentoring a team and collaborating cross-functionally.

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

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.

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 Sr. Security Engineer will design advanced DLP solutions, implement AI data classification, and create protection standards for sensitive IP within the organization.

Lead the development of AI-enabled healthcare products, collaborating with cross-functional teams to enhance patient-centric solutions and drive business impact.

As a Senior Engineer in Data & ML Platform, you will build ML pipelines, design scalable data platforms, and collaborate with teams on ML solutions to support business decisions.

As a Sr. Engineer, you'll design and maintain a scalable Data & ML platform, facilitating ML pipelines, collaborating with cross-functional teams, and building tools for data preparation, feature engineering, and model training.

The role involves maintaining and optimizing ML infrastructure, diagnosing complex issues, performing system optimization, and collaborating with engineers to resolve workflow issues.

This role involves designing, building, and scaling a Data+ML platform, collaborating on machine learning pipelines, and incorporating cloud services for deployment and execution.