Top Machine Learning Engineer Jobs in Mumbai

The Security Managed Services Engineer (L2) ensures operational security infrastructure through monitoring and resolving incidents, collaborating on projects, and maintaining SLA compliance.

The Demand Planner Team Lead oversees global procurement planning, ensuring accurate material requirements to enhance supply chain efficiency and performance.

The Technical Content Writer will create engaging and accurate content on data analytics, collaborate with experts, and optimize for SEO to drive traffic.

Lead and scale QuillBot's AI Engineering & MLOps function by overseeing the full ML lifecycle, optimizing performance, and mentoring a team while collaborating cross-functionally.

Manage a team of 35+ in technology risk for Corporate and Investment Banking, oversee initiatives, drive innovation, and ensure risk management transparency.

The Data Scientist will analyze structured and unstructured data, build predictive models, and explore generative AI applications to support decision-making and product enhancement.

The Data Scientist will develop AI solutions, focusing on machine learning and NLP to improve processes and products, collaborate with teams, and uphold best coding practices.

Manage a team of Solutions Architects focusing on enterprise and strategic customers, enhancing team effectiveness and promoting data-driven solutions.

Lead and develop a global Site Reliability Engineering (SRE) team, ensuring system reliability and performance while driving strategic initiatives and fostering collaboration.

The Senior Machine Learning Engineer will develop AI solutions to enhance productivity, build and scale ML models, and communicate data science concepts effectively.

The Machine Learning Engineer will influence AI product development, collaborate on business problems, apply quantitative analysis, and drive product strategies through data insights.

The Principal Machine Learning Engineer influences AI product development, collaborates with cross-functional teams, and drives business strategies using data analysis and insights.

Lead the KYB/KYC Compliance operations, onboarding complex organizations, driving automation, ensuring compliance standards, and managing team performance.

The role involves leading CFO Analytics consulting, developing financial models, mentoring teams, and guiding digital transformation in finance.

Lead finance transformation projects, advise clients on performance metrics, oversee consulting teams, and develop strategic relations with CFOs while mentoring team members.

The Process Mining Analyst will optimize business processes in travel and finance through detailed mapping, data analysis, and collaboration with cross-functional teams, enhancing efficiency and decision-making.

The Process Mining Analyst will optimize processes using mining techniques, support business analysis in travel and finance, and collaborate across teams to enhance operational efficiency.

Design and productionize ML models for search relevance and personalization. Collaborate on ML services with backend teams under performance constraints.

As a Senior Data Analyst, you will forecast case volumes, manage capacity, perform data analysis, and enhance operational performance while partnering with teams for customer experience improvements.

The Applied AI / ML Associate designs and implements AI solutions for banking operations, focusing on document intelligence and automation to improve efficiency and compliance.

Lead the data engineering strategy at XO Health, overseeing a team, implementing scalable data solutions, and developing advanced analytics models for healthcare data optimization.

The Senior QA Engineer will ensure quality in AI products, designing test plans for APIs, UI, and ML workflows, conducting performance testing, and collaborating with ML teams.

The Pre-Sales Consultant collaborates with sales and engineering teams to address customer pain points, present solutions, and ensure product fit, particularly within financial institutions.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

Lead the development of core platform features, ensuring a user-centric experience for data scientists and analysts. Collaborate with teams to align product strategy with business goals, focusing on feature enhancement and stakeholder communication.