Top Machine Learning Jobs in India

Develop AI applications and systems, leveraging cloud services and generative AI models. Collaborate with teams to ensure production-ready solutions.

The AI/ML Engineer will develop AI applications, lead technical execution, mentor junior engineers, and improve cloud infrastructure while ensuring software quality and innovation.

Design and build applications using Oracle HCM Cloud focusing on AI-enabled enhancements, leading project delivery, and engaging with business strategies for automation.

The Custom Software Engineer will develop innovative AI-driven software solutions, optimize SAP processes, and enhance enterprise automation through Generative AI and Agentic AI frameworks.

Design and implement AI-driven solutions in Oracle platforms, manage project delivery and recovery for enterprise applications, ensuring timely stakeholder alignment and efficient execution.

Lead the design and build of applications, focusing on AI-driven enhancements using GenAI and Oracle platforms, ensuring quality delivery.

As a Custom Application Architect, you will provide expertise to define and support application capabilities, collaborate with teams, produce estimates, and mentor junior members.

The Application Architect will provide technical expertise, manage teams, collaborate, facilitate workshops, and mentor juniors to enhance application delivery capabilities.

As a Custom Application Architect, you will design architecture for custom software systems, collaborate with stakeholders, and ensure applications meet current and future needs.

Design the architecture for custom software systems, translate business needs into scalable solutions, and collaborate with teams to ensure application success.

The Principal Data Scientist leads AI/ML strategy, ensuring high standards in modeling and experimentation, and fosters cross-functional collaboration for enterprise decision-making.

The role involves conducting AI research, teaching AI-related courses, collaborating on healthcare data modeling, and securing external funding, while mentoring students.

The Postdoctoral Research Associate will lead research in structural health monitoring of transportation infrastructure, manage research activities, analyze data, and support proposal writing and public engagement events.

Conduct interdisciplinary AI research focused on healthcare, develop and teach related courses, collaborate on complex healthcare data analysis, and secure funding.

Lead global digital operations ensuring service availability and reliability. Implement SRE strategies, optimize performance using AI/ML, and ensure GxP compliance.

The role involves building AI solutions for Finance at Cigna, automating processes, and improving decision-making using AI technologies.

Assist in marking assignments, responding to students' questions, and ensuring timely communication in the Biomedical Engineering course on Machine Learning for Biomedical Data.

The role focuses on developing analytical data science products, implementing algorithms for insights, and expertise in deep learning frameworks.

Lead the design, development, and deployment of AI-driven platforms, focusing on backend systems, machine learning integration, and client interactions. Oversee technical initiatives and mentor engineers.

The role involves analyzing problems using AI, building autonomous systems, innovating with patents, and managing teams while providing innovative solutions for operational efficiency.

The Data Engineer designs, develops, and maintains data solutions, creating data pipelines, ensuring data quality, and implementing ETL processes across systems. Responsibilities include leading data architecture efforts, mentoring team members, and integrating AI technologies.

The AI/ML Computational Science Specialist analyzes complex problems using AI, builds AI Assets, and leads teams to drive innovation and business impact.

Develop applications using AI tools, collaborate with teams, mentor juniors, and lead scalable language model architecture design.

The AI / ML Engineer designs, builds, and deploys AI applications utilizing cloud services and generative models, ensuring production readiness and collaborating with teams.

As an AI / ML Engineer, your role includes developing applications using AI technologies, optimizing production pipelines, and collaborating with teams to enhance intelligent systems.