
Artificial Intelligence/Machine Learning Engineer
1 day ago
Key Responsibilities
- Design, develop, and deploy AI/ML models for real-world applications.
- Implement Generative AI solutions using platforms like OpenAI, Anthropic Claude, and HuggingFace Transformers.
- Work on LLM fine-tuning using PEFT, LoRA, QLoRA, and similar parameter-efficient methods.
- Develop intelligent agents using LangChain and LangGraph frameworks.
- Build and optimize RAG pipelines integrated with vector databases like Pinecone, Weaviate, etc.
- Apply prompt engineering techniques to improve model performance and outputs.
- Collaborate cross-functionally with product, data, and engineering teams to deliver scalable AI systems.
- Work with cloud infrastructure, especially AWS, for model training, deployment, and orchestration.
- Stay up to date with the latest research and trends in AI, LLMs, and agent-based systems.
- Implement and maintain MCP Protocols and agentic workflows for advanced decision-making Skills & Experience :
- 46 years of strong experience in Machine Learning, Deep Learning or Generative AI and Agentic AI.
- Hands-on experience with Generative AI, LLM architectures, and open-source models like Mistral, Meta LLaMA, etc.
- Proficiency in LangChain, LangGraph, and prompt engineering.
- Familiarity with Vector Databases such as Pinecone, Weaviate, FAISS, etc.
- Experience with OpenAI, HuggingFace, Anthropic Claude, and model APIs.
- In-depth understanding of LLM fine-tuning techniques (LoRA, QLoRA, PEFT).
- Strong Python programming skills and experience with ML frameworks (PyTorch, TensorFlow).
- Good understanding of AWS services for model training, hosting, and storage.
- Solid understanding of RAG pipelines, agentic AI frameworks, and MCP Protocols.
- Experience working in a fast-paced, research-driven environment.
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