Top Machine Learning Engineer Jobs in Mumbai

The Claude.AI Developer designs and implements AI applications using Claude.AI, collaborates with teams to integrate AI solutions, and optimizes performance.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.

As a Senior Software Development Engineer, you will enhance the MLDLC at PitchBook, providing tools and mentorship while collaborating on AI solutions.

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 Associate Architect - Machine Learning will develop architectures, mentor teams, work on healthcare ML projects, and communicate insights to clients.

As a Senior AI Solutions Architect, you'll develop and implement AI solutions, collaborate with cross-functional teams, and ensure AI governance. Responsibilities include managing AI product lifecycles, evaluating SaaS solutions, and optimizing AI performance.

The Senior Client Solutions Partner will drive sales of Data Science solutions to Enterprise clients, build business cases, architect solutions, mentor teams, and lead data strategy discussions.

The General Manager - Data Strategy leads data and AI projects, manages client relationships, and drives strategic discussions to create innovative data solutions for top advertisers.

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.

Lead a global team of engineers in developing risk and onboarding platforms while driving business impact through collaboration, roadmap planning, and engineering excellence.

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.

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.

As a Software Engineer, design, develop, and deploy software solutions leveraging AI. Optimize performance and collaborate with cross-functional teams to enhance customer experiences and internal efficiency.

Lead technical design and architecture strategy for high-value digital solutions sales, collaborating with sales teams to present solutions and ensuring technical integrity during proposals.

The Machine Learning Engineer role involves designing, implementing, and deploying ML solutions, focusing on LLMs and collaboration with engineering teams.

The Data Scientist will analyze complex datasets, develop predictive models, and derive insights to support business objectives using advanced statistical methods.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

Lead and execute platform strategy for data, AI/ML, and GenAI at Priceline, managing global teams to enhance data access and machine learning capabilities.

The AI / ML Engineer develops applications that utilize AI to enhance performance, collaborating with teams to implement solutions and mentor junior members.

The AI / ML Engineer develops AI-driven applications, leveraging technologies like deep learning and NLP while collaborating with teams to optimize solutions.

Seeking a Data Science/Machine Learning Engineer with strong Python and machine learning skills, particularly in NLP and cloud platforms.