Top Machine Learning Engineer Jobs in Mumbai

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.

Drive the Search product roadmap at Bloomreach, focusing on AI, personalization, and data-driven decisions while ensuring customer engagement and market readiness.

The Senior ML/AI Engineer will lead the design and deployment of machine learning models, focusing on predictive analytics and AI solutions, while collaborating with stakeholders and ensuring scalable production systems.

Design and productionize ML models for search relevance and personalization. Collaborate on ML services with backend teams under performance constraints.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

The Deep Researcher will develop predictive signals for financial markets using quantitative analysis, focusing on fundamental knowledge and data exploration.

The Data Science Lead analyses and models data to create actionable insights, develops AI solutions, and mentors junior team members.

The Senior Data Modeler will apply data mining techniques and statistical analysis to build models and prediction systems, support business teams, and develop analytical solutions for clients.

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 role involves leading balance sheet management product strategy, utilizing AI and machine learning to develop data-driven tools and analytics, and overseeing product lifecycle while collaborating with senior leaders across finance and technology.

Join Coface's Data Lab as a Data Scientist to design and develop AI solutions for various data science use cases, utilizing machine learning and natural language processing.

The Senior Manager will oversee multiple agile teams, ensuring effective team performance, strategic planning, and technical leadership in software development, with a focus on AI and cloud technologies.

The Director of Data Science will lead the development of AI systems, manage a team, and drive knowledge sharing while ensuring project alignment with business goals.

The AI Lead will design, develop, and implement AI solutions to enhance the SDLC stages, mentor teams, and ensure responsible AI practices.

Design and implement SAP IBP demand planning solutions, enhance forecasting accuracy using AI and statistical models, and integrate data flows for effective supply chain planning.

The UX Designer will create user-friendly experiences for healthcare products, integrating AI tools and collaborating with teams to deliver designs that empower users.

Lead AI transformation initiatives by developing architectures, managing cross-functional teams, and ensuring compliance in BFSI environments. Engage with C-level stakeholders to align AI solutions with business objectives.

The Staff Engineer in Machine Learning will guide teams, solve client challenges, and enhance solutions leveraging their technical expertise.

Lead strategic client accounts, managing relationships with senior executives to drive sales growth and tailored solutions, especially in financial services.

As a Customer Support Engineer, you will resolve customer technical issues, perform installations, upgrade systems, and support field services while maintaining customer relationships.

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.

The role involves the proactive offer release for a Principal Solution Architect focusing on AI and Machine Learning.

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.