5.0 - 10.0 years

0 - 2 Lacs

Hyderabad

Hybrid

Role: ML Engineer. Exp : 5 Years to 10 Years Location : Hyderabad. Job Overview: Were seeking a ML Engineer / Data Scientist to architect agentic AI solutions and own the full ML lifecycle—from proof-of-concept to production. You’ll operationalize LLMs, build agentic workflows, implement MLOps best practices, and design multi-agent systems for cybersecurity tasks. Key Responsibilities: Operationalize large language models and agentic workflows (LangChain, LangGraph, LlamaIndex) to automate security decision-making and threat response. Design, deploy, and maintain multi-agent AI systems for log analysis, anomaly detection, and incident response. Build proof-of-concept GenAI solutions and evol...

Posted 3 months ago

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Gen AI Engineer Virtusa

5.0 - 10.0 years

5 - 10 Lacs

Pune, Maharashtra, India

On-site

Proven experience in developing and implementing Generative AI models and algorithms, with a strong understanding of deep learning fundamentals. Experience with training and fine-tuning Generative models on high-performance computing infrastructure. Experience in working with Vector DB and Embedding Proficiency in programming languages such as Python, NLP, TensorFlow, PyTorch, or similar frameworks for building and deploying AI models. Strong analytical and problem-solving and collaboration skills A passion for exploring new ideas, pushing the boundaries of AI technology, and making a meaningful impact through your work.

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AI System Engineer Aurus

2.0 - 4.0 years

3 - 7 Lacs

Pune

Work from Office

Essential Skills: Machine Learning & Deep Learning: Solid understanding of ML concepts and hands-on experience with deep learning (especially neural networks and Transformers). Python Programming: Strong Python coding skills with familiarity in frameworks like TensorFlow, PyTorch, or Keras. Natural Language Processing (NLP): Experience with tokenization, embeddings, and language model fine-tuning. Data Engineering: Ability to clean, process, and manage large datasets with a focus on data quality. Math & Statistics: Good knowledge of linear algebra, calculus, probability, and statistics. Preferred Additional Skills: Model Deployment (MLOps): Exposure to deploying models using Docker, APIs, CI...

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Gen AI HCLTech

8.0 - 12.0 years

15 - 20 Lacs

bengaluru

Hybrid

Name of requirement - Generative AI Engineer Skill Category - Strong hands-on experience with LLMs and SLMs, including integration of open-source models, prompt engineering, evaluation, and fine-tuning techniques. Good Hands-on experience with vector databases, embeddings, and Azure AI Search integration for semantic retrieval. Skillset Keywords - Generative AI Engineer Exp. - Overall, 8-10 years combined experience in IT Work Type Location - Bangalore

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Senior Manager: Technology, Solution Architect, Generative AI Pylon Management Consulting

12.0 - 18.0 years

35 - 40 Lacs

gurugram, bengaluru

Hybrid

Role & responsibilities Lead the full lifecycle design, development, and delivery of enterprisegrade Generative AI solutions across Azure and Google Cloud environments. Provide fullstack architectural leadership (React, Node.js, .NET) while ensuring scalable data platforms, robust DevSecOps, and exceptional client outcomes. Key responsibilities: Own solution architecture for Generative AI engagements from discovery through production, covering prompt engineering, embeddings, RAG, agent/multiagent frameworks, and model finetuning Define and govern technical designs spanning frontend (React), midtier (Node.js, .NET 7+/Core, C#), and data layers (Cosmos DB, SQL/NoSQL, Blob/BigQuery, vector stor...

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Senior Manager: Technology, Solution Architect, Generative AI Pylon Management Consulting

12.0 - 18.0 years

35 - 40 Lacs

gurugram, bengaluru

Hybrid

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Full Stack Developer Volody Product

2.0 - 4.0 years

6 - 9 Lacs

mumbai

Work from Office

As our AI Developer, you wont just write codeyoull partner with AI tools to conceptualize, prototype, and build full-stack features in record time. You'll convert user needs and contract workflows into functioning, AI-driven softwareend to end. This role bridges software engineering, product execution, and AI-engineeringthere is no separation between front-end, back-end, and model integration: you do it all. Key Responsibilities Use tools like Windsurf, Cursor, GitHub Copilot, etc., to accelerate development of full-stack features. Design, prototype, test, and deploy CLM modules: clause extraction, contract review UI, workflow automation. Integrate LLMs, vector embeddings, rule engines, and ...

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