Top Machine Learning Jobs in India

As an AI / ML Engineer, develop AI applications and systems, leverage cloud services, and apply generative AI models while collaborating with teams for successful implementations.

The AI / ML Engineer designs and builds applications using AI technologies and cloud services, managing deployment pipelines and integrating generative AI models into solutions, while collaborating across teams.

Responsible for leading a team in developing AI applications utilizing ML and NLP techniques, focusing on generative AI and data analysis solutions.

Contributes to the development and deployment of machine learning algorithms, analyzes solutions, and collaborates with senior researchers to solve problems.

Lead the development of AI/ML solutions, focusing on Generative AI models and Deep Learning applications, ensuring robustness and model performance.

Lead the development of AI/ML and network automation solutions, driving product strategy, collaborating with teams, and enhancing operational efficiency.

The role involves leading pre-silicon verification using AI-driven methodologies, collaborating with teams, and delivering innovative verification solutions.

The role involves leveraging AI and ML to enhance pre-silicon verification methodologies, collaborating with cross-functional teams, and engaging with customers for innovative solutions.

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

The Research Scientist will analyze data, develop and operationalize ML solutions, support proof of concepts, and communicate results effectively.

Lead AI-first initiatives at Alaan, defining metrics and collaborating with engineering to deliver impactful AI experiences for fintech solutions.

The Data & Records Governance Analyst ensures effective governance and compliance in data management, collaborates with business units, and drives data quality improvements and risk management. The role involves implementing processes, analyzing data, and guiding teams.

Join Kyndryl as a Cybersecurity Specialist, where you will protect client systems from cyber threats, implement cybersecurity policies, and conduct assessments and threat analyses.

Join Airbus as an Aerodynamics Engineer, focusing on aircraft design and validation using CFD and wind tunnel testing while promoting Airbus values.

The AI Consultant develops Responsible AI policies, collaborates with stakeholders, designs proof of concepts, and manages strategic AI projects to enhance ethical AI practices.

Lead design and delivery of AI applications, architect .NET services, implement RAG pipelines, mentor engineers, ensure solution quality.

Lead the ethical use and governance of AI, ensuring compliance with legal standards, managing AI risks, and fostering collaboration across teams.

Lead a team of applied researchers and engineers to develop sophisticated AI models for optimizing shipping logistics, enhance user experience, and deploy advanced technologies.

The CRM Analytics Manager at eBay leads data-driven strategies for CRM programs, utilizing ML/AI for personalization, experimentation, and analytics to improve customer lifetime value and engagement.

The AI Specialist will enhance insurance operations by applying AI technology for process improvements, employee training, and model development, while collaborating with cross-functional teams.

The AVP, Enterprise Complaints Analytics & Innovation leads analytics on complaint data to influence product strategy and improve customer experience. Responsibilities include detecting trends, conducting root cause analysis, developing A/B testing strategies, and creating executive reports.

The Applied Researcher 1 will develop and deploy machine learning models for optimizing shipping logistics, collaborating with cross-functional teams to enhance e-commerce experience.

Designs, implements, and optimizes generative AI and deep learning solutions (NLP, speech, vision). Collaborates with cross-functional teams, ensures data quality, performs research, and documents models and prompt-engineering best practices for production-ready deployments on cloud platforms.

The role involves creating interactive data visualizations and dashboards, analyzing complex datasets, and utilizing AI tools for insights.

Lead applied data science and ML engineering in financial services, focusing on model lifecycle and ensuring production-grade performance under regulatory scrutiny.