Top Machine Learning Engineer Jobs in Mumbai

The Lead for Data Quality and Reliability Engineering will develop data quality practices, architecture, and metrics to ensure data integrity across systems while leading a team towards innovative data solutions in a financial context.

The Senior Data Scientist will design and develop AI solutions for healthcare, focusing on machine learning and natural language processing to improve clinical outcomes, collaborating with experts to integrate models into production.

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.

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 Manager Data Governance drives AI and Machine Learning solutions, translating insights into business recommendations, ensuring best practices, and collaborating with stakeholders for robust analytics solutions.

The Senior Manager, QA/User Testing will lead AI-driven user testing initiatives, ensuring quality, usability, and compliance for AI solutions, while managing testing strategies, stakeholder communication, and regulatory adherence.

Design and implement AI-driven systems to solve business problems, focusing on orchestration, observability, and model deployment.

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.

Seek an experienced Enterprise Sales Representative to sell IGA Solutions to organizations, engaging with C-level in a lengthy sales cycle using the Challenger sales methodology.

As a Principal AIOps Engineer at Boomi, you will leverage AI and machine learning to enhance integration and automation, driving significant business impact. You'll work with cutting-edge technologies and lead teams to innovate and solve complex challenges.

Join Boomi as a Fullstack AI/ML Engineer to work on their intelligent integration and automation platform, making impactful contributions.

The role involves conducting quantitative research for investment management, developing financial models, and leading research initiatives across various asset classes.

Design and implement machine learning models and pipelines, collaborate with teams to deploy solutions, and optimize data processing workflows.

Lead FP&A for IT/FinOps: build and maintain financial models, manage CapEx/OpEx budgeting and forecasts, analyze cloud and system spend to identify cost savings, implement FinOps practices, collaborate with procurement/finance/IT, negotiate with cloud vendors, and produce reports and dashboards for stakeholders.

The AI Engineer will design and deploy AI agents, develop LLMs, build robust model pipelines, and integrate solutions while ensuring compliance and performance optimization.

The Machine Learning Operations Engineer will develop and maintain AI systems, focusing on production-grade ML infrastructure, including APIs and CI/CD pipelines, while ensuring the reliability of deployed ML services.

The Lead Machine Learning Engineer designs and builds ML systems for data processing, utilizing NLP, LLMs, and cloud services to innovate AI solutions and lead cross-functional teams.

Lead key client accounts for FICO, focusing on strategic partnerships, complex deal structuring, and driving business growth through tailored solutions.

The AI/ML Engineer will lead research and development in Industrial Digital Twins and AI applications, collaborating with cross-functional teams to design scalable solutions for industrial challenges.

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

The role involves solving complex problems using AI and ML. Responsibilities include creating solutions and managing small teams while collaborating with various stakeholders.

As an AI / ML Engineer, you'll develop applications utilizing AI tools, apply GenAI models, and ensure high-quality production pipelines, focusing on machine learning operations and collaborating with teams to enhance performance.

As a Principal Software Engineer, you will lead the design of complex backend systems, focusing on reliability, performance, and the implementation of Agentic AI capabilities while guiding team members and ensuring adherence to engineering excellence.

As a Principal Software Engineer, you'll lead the design and implementation of backend systems, advancing Agentic AI capabilities and optimizing microservices across cloud environments while providing technical leadership to the team.