Top Machine Learning Engineer Jobs in Mumbai

Develop and improve Sustainalytics digital products using .NET Core and frontend frameworks. Implement solutions, collaborate with global product teams, research enhancements, follow best practices, and resolve reported issues.

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 Sales Executive is responsible for selling SailPoint's IGA Solution Suite to large organizations, engaging with C-level executives, and maintaining relationships with key clients while navigating a lengthy sales cycle.

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.

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.

As an AI / ML Engineer, you'll develop applications utilizing AI tools, apply GenAI models, and ensure high-quality production pipelines, focusing on machine learning operations and collaborating with teams to enhance performance.

Develop applications utilizing AI tools and cloud services, collaborate with teams for production-quality solutions, mentor juniors, and improve workflows.

As an AI / ML Engineer, you'll develop applications using AI tools and cloud services, ensuring production-ready solutions while mentoring junior members and driving cross-team collaboration.

As an AI Engineer at TTBS, you will be responsible for developing and implementing AI solutions to enhance business digitalization and connectivity.

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 determining Risk Weighted Assets for Counterparty Credit Risk, ensuring compliance with regulations, and overseeing the governance and calculation processes for Derivatives RWA.

Consult with CPG/FMCG clients on Revenue Growth Management analytics programs, focusing on pricing strategies, promotion analysis, and optimizing revenue growth while leading engagements across diverse global markets.

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 role involves leading product strategy and development for balance sheet management solutions using AI and analytics, collaborating with senior stakeholders, and mentoring teams in product management best practices.

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.

The Vice President of Project Management will lead technology and business transformation projects, establish PM/PMO capabilities, and drive process excellence through innovation and digital tools. Responsibilities include overseeing project delivery, managing a consulting team, and ensuring adherence to governance and risk management practices within a comprehensive service architecture.

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

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.

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

The Pre-Sales Consultant collaborates with sales and engineering teams to address customer pain points, present solutions, and ensure product fit, particularly within financial institutions.

The Engagement Manager will manage post-sales relationships with key clients, ensuring proper utilization of BioCatch solutions, addressing issues, and promoting new opportunities for growth and security.