Top Machine Learning Engineer Jobs in Mumbai

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

Lead the AI Engineering team to convert research into deployable AI solutions, partner with central functions, and build reusable tools for investment applications.

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 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.

As an AI Engineer, you will develop AI solutions, collaborate with research and business teams, and enhance AI capabilities within BlackRock's Global Markets.

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

The Senior Associate, Data Science & AI will deliver data-driven insights and AI-powered analytics tools, develop predictive models, support marketing analytics, and collaborate across teams to drive commercial decision-making in pharmaceuticals.

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.

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.

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

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.

As a Data Platform Engineer, you will optimize and enhance large-scale data processing systems on the Databricks platform, focusing on performance and cost-effectiveness.

The Data Platform Engineer will optimize and enhance large-scale data processing on Databricks, focusing on performance, scalability, and cost-effectiveness.

Engage with data engineers for Databricks platform optimization, focusing on query efficiency, scalability, and performance metrics analysis.

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.

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.

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.

As a Data Platform Engineer, you'll optimize data processing systems in Databricks, improving performance and cost-efficiency through various analytics tactics and collaboration with data engineers.

The Data Scientist will leverage AI and machine learning expertise, focusing on Generative AI and LLMs, to develop innovative solutions and POCs across industries.

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

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.

Lead innovation and analytics in research, marketing, and sales; develop and deploy machine learning models and AI technologies while managing large data sets.

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