Top Machine Learning Engineer Jobs in Mumbai

The Lead-Information Security will manage data protection and security strategies, conduct risk assessments, develop compliance policies, and respond to security incidents while collaborating with various departments.

Lead the design, development, and implementation of AI-driven network solutions, guiding the full software development lifecycle and technical innovation.

Design and implement scalable distributed systems and ML services. Drive innovation in AI-driven network management and mentor junior engineers.

The intern will design and implement high-frequency trading algorithms, analyze market data for patterns, and develop tools for data analysis.

The ServiceNow Solution Architect - AI leads a team to develop AI-driven applications on the ServiceNow platform, integrating ML and NLP solutions, and managing all development aspects from design to testing.

The Data Scientist III will develop advanced forecasting models, collaborate with teams to enhance predictive solutions, and communicate insights to stakeholders.

Lead the strategy and execution for recommendation systems, cross-promotion, and ads monetization initiatives to enhance user growth and revenue.

The Tech Project Manager will define and execute the vision for generative AI products, manage cross-functional teams, and oversee project lifecycles to enhance competitiveness and user experience.

Develop machine learning algorithms to analyze brain data, design experiments, build data visualization tools, and assist in AI model development for education.

The ESG Client Success Operations Specialist will manage client engagements, enhance due diligence processes, support onboarding, and provide technical platform assistance while ensuring client satisfaction.

Lead AI initiatives and develop production-grade AI models using Agentic AI frameworks. Oversee Gemini Enterprise solutions, integrate secure systems, and enhance existing capabilities while collaborating across teams.

The Senior Data Scientist will enhance the predictive modeling capabilities of Lyric's platform, focusing on machine learning and statistical methods for supply chain optimization.

Lead the development of machine learning products by driving technical direction, designing data pipelines, and collaborating with teams to innovate solutions in consumer finance.

As a Senior Software Engineer II, you'll design APIs, improve performance, mentor engineers, and build AI solutions for better healthcare access.

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 role involves leading data science efforts including model development, design solutions, mentoring team members, and effective communication with clients, while ensuring quality and compliance with standards.

The Senior Staff Engineer, Data-science will lead machine learning initiatives, mentor team members, and ensure best practices in technical design and architecture.

The role involves overseeing data science projects, mentoring team members, and developing solutions using machine learning and data technologies, while ensuring alignment with client requirements.

The Machine Learning Scientist will manage ML projects, conduct experiments, analyze performance, and stay updated on ML trends to drive the development of intelligent systems.

As a Senior Machine Learning Scientist, you will build and maintain ML systems, develop LLM solutions, and mentor team members. You will work on data pipelines, model training, and deployment, focusing on optimizing ML workflows and enhancing team practices.

Lead innovation and analytics in research, marketing, and sales; develop and deploy machine learning models and AI technologies while managing large data sets.

The AI/ML Engineer will develop production-ready applications utilizing AI tools and cloud services, focusing on computer vision and generative AI models, while ensuring quality through effective pipelines.

The Senior Software Engineer will design and maintain backend software, APIs, and collaborate with various teams to enhance product offerings and scale services.

Develop AI/ML applications, specifically utilizing NLP and various AI tools, while enhancing models and ensuring production-ready quality. Lead innovative solutions and collaborate with teams.

The AI/ML Engineer will develop applications using AI tools and Cloud services, focusing on pipeline quality and generative AI integration, and requiring deep learning and chatbot experience.