Top Machine Learning Jobs in India

The Service Architect will analyze, design, and develop end-to-end solutions while managing the service lifecycle and coordinating infrastructure planning.

The Data Scientist II will manipulate large datasets, apply statistical techniques, and develop machine learning models for financial applications, focusing on innovative solutions and effective communication with stakeholders.

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.

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 VP of Global Customer Success & Support will lead a global team to enhance customer relations, reduce churn, and utilize AI-driven strategies for operational efficiency and success. Responsibilities include managing technical support, refining customer engagement, and optimizing post-sale processes while ensuring exceptional customer experiences across global markets.

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

Manage a team in alternative investment operations, ensuring effective operational due diligence, financial reporting, and risk control while leading initiatives for process improvements.

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.

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.

The Senior Software Engineer will lead initiatives in software engineering, design and implement solutions, and resolve technical challenges, while supervising less experienced staff.

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 and manage a team of Machine Learning Engineers and Data Scientists to develop ML solutions that enhance user engagement and support business objectives in digital entertainment.

The Manager of Product Management will develop product vision and strategy, collaborate with cross-functional teams on AI/ML platform products, and maintain agile processes to enhance business and customer outcomes.

Lead the sales technology strategy and manage product lifecycle for CRM and sales automation platforms. Collaborate with various stakeholders to implement solutions, drive digital adoption, and enable data-driven decision making.

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

The Quantitative Analytics Director oversees model risk management for business planning models, guiding a team, ensuring compliance, and managing model performance.

Responsible for providing technical support for Moveworks' AI Assistant platform, troubleshooting issues, and communicating solutions to customers. Involves analyzing logs, performing configuration changes, and managing support tickets.

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

As an Industry 4.0 Analyst, you will work with Data Scientists and Engineers to implement AI-based solutions for cost reduction and operational impact across multiple business functions.

The Sales Executive is responsible for selling SailPoint's IGA Solution Suite to large organizations, engaging with C-level executives, and maintaining relationships with key clients while navigating a lengthy sales cycle.

The Director will lead AI strategy and product management for Mastercard, focusing on developing AI products and systems, overseeing portfolio management, and driving integration and evaluation of AI technologies.

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