Top Machine Learning Engineer Jobs in Mumbai

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 Associate, Data Science & AI delivers insights and AI analytics tools for Pfizer's Commercial organization, focusing on modeling, segmentation, forecasting, and effective communication of findings.

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.

The role involves leading the India IIS team to provide strategic business support through data and analytics, performance measurement, and market insights. Responsibilities include overseeing analytics plans, driving performance management, managing market research budgets, and collaborating across teams to enhance GCA capabilities.

The Staff Software Engineer will lead software design and development, focusing on AI integration, full-stack applications, and stakeholder collaboration to deliver complex projects across multiple teams.

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.

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 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.

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

The role involves building a recommendation engine, designing ML systems, making data-driven decisions, and collaborating with leadership to enhance user experiences.

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.

The role involves validating mathematical and statistical models, implementing quantitative analysis methods, documenting results, and collaborating with stakeholders to improve model performance.

The Sr. AI Engineer will develop AI solutions to address health challenges, collaborating with global teams to advance research and clinical practice.

The Senior Data Scientist will lead the development of generative AI solutions, architect multi-agent systems, and ensure the responsible deployment of AI applications in a financial context.

Lead global social media strategy, ensuring efficient campaign execution, reporting, and analytics. Drive automation and cross-functional collaboration while managing a high-performing operations team.

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.

Lead innovation and analytics, develop machine learning models, and provide analytical thought leadership across various functions while managing projects and teams effectively.

As a Data Platform Engineer, you will optimize data processing systems on the Databricks platform, improving query efficiency and scalability. You will analyze performance metrics, implement optimization tactics, and engage in code reviews.

Optimize performance of large-scale data processing on Databricks, focusing on query efficiency, scalability, and engaging in code reviews for quality adherence.

This role focuses on optimizing and enhancing the performance of data processing systems on the Databricks platform, improving query efficiency and cost-effectiveness.

Assist in designing data platform blueprints and optimize performance for data processing systems using Databricks. Collaborate with architects and engage in code reviews.

Develop, deploy and maintain machine learning models, perform exploratory data analysis, automate processes using Alteryx and Power Platform, build dashboards in Tableau/Power BI, ensure data quality and governance, and collaborate with stakeholders to deliver analytics solutions.

The Solution Architect will lead technical pre-sales activities, implement process optimization solutions, and provide expertise in complex industrial processes, particularly focused on AI/ML applications in optimization.