3,544 ai ml developer jobs in India.

... centers, to PCs, gaming and embedded systems. Join us as we shape the future of AI and beyond. Job Title: AI Engineer – Model Optimization & Acceleration Seeking an AI Engineer to optimize and deploy ML models across heterogeneous platforms (CPU, GPU, NPU). Work on scalable, production-ready AI systems across domains like robotics, ...

... and scenarios based on the specifications Good understanding of SDLC and agile methodologies Awareness of latest technologies and trends Logical thinking and problem solving skills along with an ability to collaborate Preferred Skills: Technology- AI-AI Engineering- AI/ML Solution Architecture and Design- generative ai

Proficiency in Azure AI and Machine Learning Services: Experience with Azure OpenAI Service : Familiarity with using OpenAI's GPT models via Azure, including fine-tuning, deploying, and scaling these models. Knowledge of Azure Machine Learning : Proficiency in using Azure Machine Learning for model training, experimentation, ...

... models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, ...

... RAG, Agentic AI & End-to-End DeploymentWe are looking for a hands-on Gen AI Engineer who can design, build, deploy, and continuously improve production-grade AI solutions. The ideal candidate should have strong experience across RAG, AI Agents, LLMs, vector databases, Python, FastAPI, cloud deployment, and MLOps/LLMOps.Key ...

... for one of our MNC client for which we're seeking an experienced Agentic AI Manager to lead the development, deployment, and ongoing management of autonomous AI systems that can make decisions and execute actions independently. The ideal candidate will have a strong background in AI/ML, with a focus on agentic (autonomous) ...

... Innovation : - Stay abreast of advancements in LLMs, prompt engineering, agent frameworks, multimodal AI, and GenAI tooling, incorporating emerging techniques into the AI https://jobeax.com/link/zOUHyveKwGuVGhGP : - Work closely with data scientists, ML engineers, product teams, and stakeholders to identify AI-driven opportunities ...

... for one of our MNC client for which we're seeking an experienced Agentic AI Manager to lead the development, deployment, and ongoing management of autonomous AI systems that can make decisions and execute actions independently. The ideal candidate will have a strong background in AI/ML, with a focus on agentic (autonomous) ...

Job Title: AI/ML Engineer – Generative AI Engineer Experience: 4+ Years Location: Bangalore Job Description: We are looking for an experienced AI/ML Engineer – GenAI & Agentic AI to join our growing team. The ideal candidate will have strong hands-on experience in Generative AI, LLM-based applications, and Agentic AI frameworks, ...

... agentic AI into enterprise workflows in collaboration with product teams. Knowledge of distributed systems and scalable backend architectures. Experience with cloud AI services on Azure, AWS, or GCP. Strong Python programming with hands-on AI/ML framework experience. Working knowledge of LLMs, prompt engineering, and basic fine-tuning ...

... https://jobeax.com/link/5q3TzvdLYIsPdoJL Fluency :- Hands-on expertise in modern AI architectures (LLMs, GNNs, Deep Learning) as well as classical modeling (Gradient Boosting, Regression).The AI Stack :- Deep proficiency with the Generative AI ecosystem, specifically LangGraph, LangSmith, Google ADK, Google Vertex AI and AWS https://jobeax.com/link/hhHxBYmEzOHVt0qM ...

... or AI/ML Engineering roles. - Demonstrated experience leading end-to-end AI/ML solution design and production deployment. - Proven track record in Generative AI, LLMs, NLP, and AI agent development. - Expert in Python and familiar with modern ML/NLP frameworks: HuggingFace, LangChain, PyTorch, TensorFlow, etc. - Experience ...

... Collaborate closely with data engineers, MLOps engineers, and platform teams to ensure seamless integration- Establish standards for reusability, modularity, and maintainability of AI/ML components- Guide the adoption of feature stores, model registries, and data lakes- Mentor senior data scientists and ML engineers on solution ...

... to personalised recovery scheduling — directly within our Android (and eventually iOS) app. This is a high-ownership role for someone who can work across the ML pipeline and ship production mobile features, not just research in a notebook. Responsibilities - Design, train, and deploy ML models for voice-based stress/emotion ...

... Design, develop, and deploy AI/ML and Generative AI solutions. Build and optimize machine learning models for prediction, classification, and automation. Develop AI applications using Large Language Models and RAG frameworks. Create and maintain AI agents, chatbots, and intelligent automation workflows. Fine-tune and evaluate ...

Responsibilities : - Design and implement advanced Generative AI models to solve complex problems. - Collaborate with cross-functional teams to integrate AI solutions into existing systems. - Conduct research and stay updated with the latest advancements in NLP and AI technologies. - Develop scalable and efficient AI algorithms ...

... viability and impact of AI to the Product Development and Sales team. Collaborate with cross-functional teams to identify business problems and develop solutions in AI. Understand End-to-End development, deployment and maintenance of AI/ML/Gen-AI solutions on & off premise Minimum of 9 years of industry experience working with ...

... frameworks : LangChain, LangGraph, AutoGen, CrewAI is a big https://jobeax.com/link/aoTmNGh5M9Iqe6Y3 & Infrastructure : - Hands-on experience with GCP (Vertex AI, BigQuery, Document AI, AI Gateway) and/or Azure (Azure ML, OpenAI, Synapse).- Expertise in containerization (Docker) and orchestration (Kubernetes).- Familiarity ...

... and Evaluation-Driven Development , along with strong client-facing and presales capabilities. Key Responsibilities Architect AI-powered Quality Engineering and AI Assurance solutions. Design evaluation frameworks, LLM assessment models, AI governance, and risk controls. Build and scale GenAI, Agentic AI, and ML assurance ...

... high-performing data science or ML teams from problem framing. Experience delivering GenAI and agentic solution and proven ability to build and deploy scalable ML models using cloud services (AWS, Azure). Deep understanding of autonomous AI agents and frameworks such as LangGraph, LangFuse, Chain of Thought (CoT), and ReACT. ...