Top Machine Learning Engineer Jobs in Mumbai

As a Data Scientist II, you will analyze large datasets, develop predictive models, implement machine learning techniques, and communicate insights effectively.

The Data Scientist will manipulate large datasets, apply machine learning models for financial applications, and communicate insights with stakeholders.

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.

The role involves performing process reviews, developing Python applications, and maintaining prompts for LLMs, focusing on analytics and machine learning in a FinTech context.

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 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.

As a Lead ML & AI Engineer, you will design, develop, and deploy ML solutions for mapping products, focusing on end-to-end ML system architecture, model innovation, and collaboration with teams to optimize map data processes.

As a Senior ML & AI Engineer, you'll design, build, and deploy machine learning and AI solutions, optimizing model performance and collaborating with teams throughout the full project lifecycle.

Lead the design and operation of ML systems for data collection and processing. Mentor teams, oversee technical direction, and ensure system reliability and efficiency. Responsible for cloud deployments and integrating advanced AI technologies.

You will lead MLOps platform operations, implement CI/CD pipelines, ensure model performance monitoring, and enhance ML reliability and observability practices. Collaborate with teams to improve operational efficiency and standards in compliance and AI governance.

As a Machine Learning Engineer, you will design and deploy ML-driven data pipelines, focusing on extracting and enriching unstructured data and improving data quality through collaboration with cross-functional teams.

The Senior Machine Learning Engineer will lead the design, development, and optimization of ML/NLP solutions for data extraction, enhance system reliability, and collaborate with cross-functional teams to improve product impact and performance.

Design, build, and scale ML and GenAI systems. Own end-to-end ML solution lifecycle, including deployment, monitoring, and continuous improvement. Mentor junior engineers and ensure scalable architecture and system reliability.

Lead delivery of digital transformation engagements in healthcare and life sciences. Manage client relationships, project financials, resource allocation, and Scrum ceremonies. Coordinate with technical architects (cloud, data, ML) to ensure roadmaps, risk mitigation, reporting, and continual improvement across programs.

Lead a team of data scientists in developing and deploying machine learning models, ensuring code quality, documentation, and smooth industrialization of projects.

The Cyber Threat Intelligence Engineer will develop and optimize systems for data processing and analysis to produce actionable threat intelligence, automate processes and enhance analyst capabilities while collaborating with various stakeholders.

The AI / ML Engineer designs and builds applications using AI tools and services, manages application pipelines, integrates Generative AI models, and collaborates with teams for project success.

The role involves developing AI applications, managing deployment pipelines, mentoring team members, and integrating Generative AI models to enhance project outcomes.

The Creative Technologist develops innovative tech solutions for advertising campaigns, bridges creative and technical teams, and mentors junior staff, ensuring quality and efficiency across projects.

As a Lead Data Scientist, you will develop retail measurement solutions using data and algorithms, lead R&D projects, and ensure timely delivery of innovative products.

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

The Senior Sales Manager drives revenue growth through strategic client relationships in online advertising, focusing on Microsoft's ads. Responsibilities include account acquisition, client management, and performance optimization for advertising solutions.

The Senior Sales Manager drives new account acquisition and incremental revenue growth by engaging with high-potential agencies and developing customer plans, aiming to meet performance indicators and optimize opportunities.

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

The Associate will implement machine-assisted capabilities using NLP and AI/ML for risk management, collaborating with product owners and technology teams.