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 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 role involves designing and implementing machine learning tools for data analysis, developing pipelines for various sensor datasets, and integrating applications into verification ecosystems while guiding junior engineers.

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.

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.

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.

Conduct assessments in sales, marketing, and supply chain; analyze data to identify trends and solutions; collaborate globally to drive revenue and innovate solutions.

Manage client relationships, develop technology solutions, oversee project delivery, and lead a cross-functional team. Focus on business development and talent retention.

Design and maintain ETL pipelines, collaborate with stakeholders, perform data analysis, ensure data quality, and implement data governance.

Lead design, development, and deployment of Generative AI and LLM solutions across cloud environments. Engage clients, build POCs/POVs, translate business needs into data problems, develop and validate models, and operationalize models with MLOps and DevOps practices while ensuring data governance, security, and domain-aligned 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.

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.

This role involves overseeing multi-program delivery in Analytics, Data Science, and AI, managing teams, fostering client relations, and ensuring governance and operational excellence.

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.

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.

Join Coface's Data Lab to design and develop AI solutions, focusing on machine learning and natural language processing. Collaborate on innovative projects and improve company products and services.

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.

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.