Top Machine Learning Engineer Jobs in Mumbai

The Engineering Manager will lead AI & ML initiatives focused on data collection, overseeing technical projects and developing a high-performing team. Responsibilities include providing technical direction, mentoring staff, ensuring system reliability, and maintaining data integrity and security. The role requires expertise in NLP and data processing with an emphasis on collaborative leadership and continuous innovation.

Develop high frequency trading strategies using machine learning and statistical analysis for India's Index Options. Collaborate with traders and researchers to improve models and trading results.

The Senior Data Analyst will manage investment data collection, ensure data accuracy, facilitate cross-team projects, and improve data quality processes.

The Manager, Data Science & AI will lead projects to extract insights from complex data, implement analytics pipelines, and drive strategic decisions using advanced statistical analysis and machine learning techniques.

The Vice President of Fraud Strategy Analytics will design and validate fraud strategies, analyze data, and implement solutions to minimize fraud while balancing operational efficiency and customer experience.

As a Senior Lead Architect, you will develop architecture solutions for software applications, evaluate technologies, provide technical guidance, and influence product design within a team.

Lead the implementation of MarTech strategy, managing projects, driving innovation, and collaborating across teams to enhance digital capabilities and deliver measurable business value.

The Software Engineer III will design, develop, and maintain software solutions, ensuring stability, security, and high quality while collaborating within an agile team.

The Software Engineer II role involves software design, development, troubleshooting, and collaboration in agile teams, focusing on creating robust applications and improving system architecture.

The VP Intellectual Property Counsel will manage BlackRock's patent strategy, protect innovations, counsel teams, and ensure compliance with IP laws.

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 Strategic Partner Manager will manage VARs, drive sales growth, build relationships, and support partner-led deals to maximize LogicMonitor's market presence.

Develop and maintain scalable systems using Java or Python, ensuring software quality, stability, and operational excellence within an agile environment.

The role involves performing large-scale data analysis, building models from prototype to production, and presenting insights for decision-making.

Lead the Consumption-Based Pricing group, develop strategies and requirements, engage with stakeholders, and drive implementation across teams.

As an Embedded AI Senior Associate, you'll work with business experts to identify AI solutions, analyze data for insights, and collaborate on implementing AI strategies.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

The role involves developing AI solutions for banking operations, collaborating with cross-functional teams, managing code lifecycle, and ensuring code quality in the AIML space.

The intern will design and implement high-frequency trading algorithms, analyze market data for patterns, and develop tools for data analysis.

The Sr. Analyst develops statistical models for Balance Sheet Management, ensuring robust modeling and governance using statistical techniques, while leading and influencing cross-functional collaboration.

The ESG Client Success Operations Specialist will manage client engagements, enhance due diligence processes, support onboarding, and provide technical platform assistance while ensuring client satisfaction.

The Tech Project Manager will define and execute the vision for generative AI products, manage cross-functional teams, and oversee project lifecycles to enhance competitiveness and user experience.

Develop machine learning algorithms to analyze brain data, design experiments, build data visualization tools, and assist in AI model development for education.

As a Sr. Engineer on the Data + ML Platform team, you will design and build scalable ML pipelines and ensure best practices in development and deployment, shaping critical business decisions in modern cybersecurity.

Lead customer service automation initiatives using ML/AI, develop strategies, define requirements, manage projects, and monitor performance to enhance customer interactions.