Top Machine Learning Engineer Jobs in Mumbai

As an AI / ML Engineer, you will develop applications utilizing AI tools and cloud services, focusing on Large Language Models, deep learning, and chatbot functionalities.

Develop applications utilizing AI tools and Cloud services, focusing on systems with production-ready quality. Engage in deep learning, neural networks, and chatbot functionalities while mentoring teams and ensuring integration across workflows.

Develop applications using AI tools and Cloud AI services, focusing on production-ready solutions with LLMs, deep learning, and image processing.

As an AI / ML Engineer, you will develop AI applications and systems, utilizing AI tools and cloud services while ensuring production-ready quality and collaborating with teams.

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 Senior QA Engineer will ensure quality in AI products, designing test plans for APIs, UI, and ML workflows, conducting performance testing, and collaborating with ML teams.

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 Architect - Machine Learning role involves designing cloud ML solutions on AWS, implementing Generative AI models, and collaborating with cross-functional teams to enhance LLM performance for user-friendly applications.

The Associate Architect will lead the development and deployment of machine learning solutions on Azure, manage the ML lifecycle, and optimize existing models while providing technical leadership to project teams.

Lead workforce management functions including WFM platform administration, demand forecasting, staffing optimization, intraday monitoring, reporting, and cross-functional collaboration to improve efficiency and service levels for customer-facing teams.

Lead a Mumbai AI/ML team to build anomaly-detection models and GenAI (RAG/Agent) workflows for regulatory reporting. Design human-in-the-loop validation, embed explainability in models, build review UIs, work with Model Risk Management, and evangelize AI to operations.

The Digital Manufacturing IT Application Analyst - Senior translates business requirements into technical specifications, designs IT solutions, develops infrastructure components, ensures compliance, and provides support for critical manufacturing IT systems.

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.

Lead the AI/ML team to develop anomaly detection and GenAI workflows for regulatory reporting, ensuring model explainability and validation processes. Mentor a team and advocate AI usage to improve operations.

The Associate - AI | ML Engineer designs and optimizes prompts for large language models, develops supervised machine learning models, prepares data, evaluates model performance, and engages with stakeholders to communicate findings.

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

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

The Senior Backend Engineer will design, develop, and maintain software solutions for identity verification, focusing on scalability, security, and high performance, while mentoring junior engineers and collaborating in an agile environment.

As a Product Manager, you will drive product strategy, delivery, and feature prioritization for Enterprise Data initiatives, ensuring alignment between customer needs and business goals.

The Data Operations Analyst develops custom product attribution based on client needs, utilizing tagging and machine learning; ensuring data mapping accuracy and project delivery.

As a Backend Engineer at Socure, you'll design, develop, and deploy software solutions, ensuring scalability, security, and high quality while mentoring junior engineers and collaborating in an agile environment.

The Senior Engineer will develop and deploy machine learning models and workflows, mentor junior engineers, and collaborate with cross-functional teams to improve patient care through innovative solutions.

Design and implement AI/ML solutions for workforce management, focusing on forecasting, scheduling, and LLM integration, while collaborating cross-functionally.

Lead and execute platform strategy for data, AI/ML, and GenAI at Priceline, managing global teams to enhance data access and machine learning capabilities.

The Data Scientist will analyze complex datasets, develop predictive models, and derive insights to support business objectives using advanced statistical methods.