Top Machine Learning Engineer Jobs in Mumbai

As a Backend Software Engineer, develop and improve Bloomreach's multi-tenant search infrastructure, leveraging cloud technologies and machine learning for enhanced performance and scalability.

Drive the Search product roadmap at Bloomreach, focusing on AI, personalization, and data-driven decisions while ensuring customer engagement and market readiness.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

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 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.

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.

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 involves driving sales and account management in the banking sector, focusing on developing new business and maintaining strong customer relationships.

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.

The Associate Architect will lead the development and deployment of machine learning solutions on Azure, manage the ML lifecycle, and optimize existing models while providing technical leadership to project teams.

The Data Modeler II will apply data mining techniques and statistical analysis, building prediction systems and supporting business teams to enhance decision-making.

The Implementation Lead will manage customer implementations of Lyric's AI-powered platform, ensuring projects meet timelines, success criteria, and technical quality while collaborating across teams.

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

The Senior Backend Engineer will design, develop, and maintain software solutions for identity verification, focusing on scalability, security, and high performance, while mentoring junior engineers and collaborating in an agile environment.

The AI/ML Engineer will develop and maintain machine learning models, integrate applications, collaborate with teams, and utilize cloud services for deployment.

As a Backend Engineer at Socure, you'll design, develop, and deploy software solutions, ensuring scalability, security, and high quality while mentoring junior engineers and collaborating in an agile environment.

As a Customer Facing Data Scientist, you'll support customers through pre-sales and ongoing engagements, leveraging AI and data science to solve complex problems, collaborate with various stakeholders, and present at conferences.

The intern will engage in full-stack development, collaborating with teams, optimizing code, and exploring AI techniques, while learning Agile methodologies.