Top Machine Learning Jobs in India

The Group Senior SDE will design and maintain software solutions, leading a team, ensuring high-quality standards and promoting agile practices.

Assist in developing software applications while collaborating with engineers. Engage in the full software lifecycle and integrate AI/ML into applications.

Lead the launch and scale-up of PayJoy's Phone Finance business in India, ensuring successful execution and coordination between global product teams and the India market.

As a Supply Chain Analyst, you will ensure production continuity through supply chain visibility, data analysis, and risk modeling, enabling strategic decisions.

The Product Owner Manager facilitates stakeholder meetings, prioritizes AI use cases, creates documentation, and acts as a liaison between teams ensuring project alignment and timely delivery of AI products.

As an ML Platform Engineer, you will optimize and manage LLM inference services, improve performance, monitor operations, and collaborate with teams for production-grade deployments.

Design, develop, and deploy large-scale recommender systems and ML models (including LLM/GenAI) using big data pipelines and production MLOps; integrate with GCP/Vertex AI and optimize recommendations for eBay's marketplace.

Designs and implements production-ready AI/ML applications using cloud AI services and generative models. Collaborates with cross-functional teams, troubleshoots technical issues, performs data preprocessing and feature engineering, and integrates LLMs, deep learning, NLP, chatbots, and image-processing solutions.

Develops AI applications and systems utilizing AI tools and cloud services, focusing on quality production-ready solutions with models like generative AI, deep learning, and neural networks.

Develop production-ready AI/ML applications and pipelines (cloud or on-prem), apply GenAI and deep learning models, build chatbots and image-processing solutions, and perform MLOps with data cleaning, algorithm implementation, and visualization.

The AI/ML Engineer develops applications utilizing AI and cloud services, focusing on production-ready quality and optimizing AI systems, while mentoring juniors.

The Machine Learning Advisor will leverage AI and ML technologies to develop solutions for healthcare transformation, focusing on Generative AI and deep learning architectures.

The role involves leading software development lifecycles for ML solutions, innovating in Generative AI, and collaborating on production-ready platforms that leverage AI-driven management.

The AI/ML Consultant will design and develop AI solutions for sustainability, collaborating with teams to deliver scalable models and proof of concepts while engaging with clients for successful implementation.

As a Graduate Machine Learning Engineer, you'll design and develop AI solutions, optimize models, and collaborate with cross-functional teams to enhance customer experiences.

Manage cross-team delivery in an AI-native engineering organization, focusing on risk management, dependency resolution, and technical communication.

Develop and deploy recommender systems at eBay, focusing on AI models, big data pipelines, and enhancing user interaction with personalized recommendations.

Join eBay's Compliance Engineering team to develop AI/ML tools and scalable systems for compliance detection, integrating machine learning into applications and APIs.

Develop applications utilizing AI tools and cloud services, integrate solutions into production pipelines, and implement generative AI and deep learning techniques.

The Technical Lead is involved in business transformation and product development, focusing on digital strategy and engineering across various industries.

The Machine Learning Engineer III will develop advanced machine learning and deep learning solutions for data extraction in ID verification. Responsibilities include designing algorithms, deploying models, and collaborating with teams to enhance security and user experience.

The Senior Software Engineer - Machine Learning will design, build, and deploy ML systems, working with telemetry data and collaborating with cross-functional teams.

Lead projects in machine learning, collaborating with engineers and data scientists, defining technical roadmaps, and implementing scalable solutions in AI technologies.

The Senior Engineer II-Software AI/ML will design and implement AI models, optimize applications for edge computing, collaborate with teams, and maintain software solutions while adhering to best practices.

Seeking a Machine Learning Engineer to work on workforce development and artificial product development, applying machine learning and deep learning concepts.