Top Machine Learning Jobs in India

The Post Doctoral Scientist will analyze large-scale datasets related to cardiometabolic diseases, using statistical and computational techniques to identify genetic factors and support therapeutic development.

The Director will define and execute the firm's data platform strategy, oversee a team, manage data architecture, and ensure data governance for AI products.

Lead ML service delivery by coordinating product engineers and data scientists, translating technical concepts for stakeholders, managing AI/ML lifecycle projects, owning incident escalations, implementing quality processes, and mentoring team members to meet customer expectations.

The SDET will develop and maintain automation frameworks for banking applications, utilizing AI for testing, and ensuring quality through collaboration and innovation.

Lead the design and development of data and analytics platforms, optimizing data pipelines, ensuring data quality, and collaborating with stakeholders on analytics solutions while mentoring junior engineers.

The Sr Technical Project Manager will shape and execute Finance AI strategy, lead AI initiatives, establish governance processes, and drive value through automation and data solutions.

The Vice President - Product Manager will enhance digital experiences for Investor Services clients, driving product lifecycle from ideation to adoption, with a focus on AI and Machine Learning.

Lead a team of machine learning engineers and data scientists to develop and deploy AI solutions in healthcare, optimizing workflows and model performance.

As a Senior Machine Learning Engineer, you'll design and deploy ML systems for user personalization, lead projects, optimize data pipelines, and enhance product engagement, while mentoring junior engineers.

The Sr. Data Scientist / AI/ML Engineer will design, develop, and implement AI solutions, develop scalable AI models, and mentor junior engineers while collaborating on diverse AI projects.

As a Data Engineer, you will analyze and enrich structured and unstructured data, enhance data quality, and develop insights for financial strategies.

The role focuses on optimizing power plant performance through data analysis and software solutions, involving machine learning and system integration.

The AI Data Scientist will analyze data using machine learning to provide insights for decision-making and improve operational efficiency, as well as lead and mentor teams in AI initiatives.

Consult with CPG/FMCG clients on Revenue Growth Management analytics programs, focusing on pricing strategies, promotion analysis, and optimizing revenue growth while leading engagements across diverse global markets.

Lead initiatives to drive significant revenue growth while owning customer pipelines and ensuring data quality and operational efficiency. Manage teams and collaborate with stakeholders across various departments for project advancements.

The Director of Product Management will lead the Forecasting & Deal Management team, setting product vision, driving execution, and engaging with customers to shape the roadmap. Responsibilities include developing AI capabilities, managing a PM team, and supporting sales in customer acquisition.

The Senior Director of Innovations leads Intelehealth's Nashik site, driving AI-enabled telemedicine solutions, managing diverse teams, and ensuring program execution and strategic partnerships for health innovation.

The Analyst in Energy Analytics will support quantitative analyses of Distributed Energy Resources (DER), develop AI-driven solutions, and provide strategic recommendations based on data insights.

The VP Custody Product Manager is responsible for delivering digital data products for Custody clients, driving strategy through data and AI, managing product lifecycles, and ensuring quality and adoption through collaboration and continuous improvement.

The AI/ML Advisor will drive enterprise AI architecture and strategy, establish governance standards, lead change management, and provide mentorship across teams to enhance AI adoption.

The Data Scientist will develop HR analytics solutions using AI/ML algorithms and statistical models, visualize data, and collaborate with HR teams to improve processes.

The Data Processing Executive will manage data annotation and correction for Mortgage documents, ensuring accuracy and collaboration while meeting productivity metrics.

The Senior Manager, Machine Learning leads the Conversation Memory team, focusing on developing foundational AI features, ensuring operational excellence, mentoring engineers, and managing project timelines for ML solutions.

Design, build, and deploy scalable AI/ML solutions, optimize model performance, collaborate with teams, and guide junior engineers.

The Senior AI ML Engineer will lead the delivery of AI/ML products, mentor teams, design ML systems, and ensure scalable solutions that improve health outcomes.