Top Machine Learning Engineer Jobs in Mumbai

The Senior Business Analyst will analyze and solve complex problems in the Insurance industry, lead project teams, gather requirements, and develop innovative solutions using advanced analytics and machine learning.

The Director of Data Science will lead the development of AI systems, manage a team, and drive knowledge sharing while ensuring project alignment with business goals.

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 Principal Architect leads the technical architecture for enterprise programs, ensuring scalable solutions and driving technology best practices while collaborating with leadership on innovative strategies.

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

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

The AI Lead will design, develop, and implement AI solutions to enhance the SDLC stages, mentor teams, and ensure responsible AI practices.

The Staff Engineer in Machine Learning will guide teams, solve client challenges, and enhance solutions leveraging their technical expertise.

Lead the design and operation of ML systems for data collection and processing. Mentor teams, oversee technical direction, and ensure system reliability and efficiency. Responsible for cloud deployments and integrating advanced AI technologies.

Lead strategic client accounts, managing relationships with senior executives to drive sales growth and tailored solutions, especially in financial services.

As a Customer Support Engineer, you will resolve customer technical issues, perform installations, upgrade systems, and support field services while maintaining customer relationships.

The Content Analyst & Knowledge Engineer role involves data analysis, content management, and enhancing AI systems for Yahoo products. Responsibilities include classifying data, developing AI workflows, and collaborating with engineering and product teams.

Design and implement AI models, operationalize ML models, develop CI/CD pipelines for ML workflows, and provide technical guidance while ensuring data security compliance.

Design, build, and scale ML and GenAI systems. Own end-to-end ML solution lifecycle, including deployment, monitoring, and continuous improvement. Mentor junior engineers and ensure scalable architecture and system reliability.

The Senior Machine Learning Engineer will lead the design, development, and optimization of ML/NLP solutions for data extraction, enhance system reliability, and collaborate with cross-functional teams to improve product impact and performance.

Lead a global team of Content Analysts and Knowledge Engineers focusing on human evaluation, content management, data analysis, ML workflows, and operational excellence for Yahoo Mail products.

The Senior Product Manager will drive AI-led innovation, define AI product strategy, ensure compliance with responsible AI principles, and collaborate across teams to deliver impactful AI features.

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.

The Creative Technologist develops innovative tech solutions for advertising campaigns, bridges creative and technical teams, and mentors junior staff, ensuring quality and efficiency across projects.

The Senior Sales Manager drives revenue growth through strategic client relationships in online advertising, focusing on Microsoft's ads. Responsibilities include account acquisition, client management, and performance optimization for advertising solutions.

The Senior Data Analytics Engineer at MariaDB designs and builds data pipelines, writes SQL queries, develops internal tools, and translates data into actionable insights. They will collaborate closely with stakeholders and leverage AI tools to enhance analytics workflows.

The Business Systems Analyst will collaborate with IT and business teams to enhance supply chain systems using Oracle Fusion Cloud technologies, delivering innovative solutions for various modules.

Design and implement automation solutions using Microsoft Copilot and Power Platform, optimize workflows, collaborate with stakeholders, and ensure compliance and governance.

The Sr. AI Engineer will develop AI solutions to address health challenges, collaborating with global teams to advance research and clinical practice.

Seeking a Vice President to develop Machine Learning models and Gen AI use cases in Wealth Management, supporting business lines with predictive analytics and operational model management.