ML/LLM Engineer

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What We'll Bring:

What You'll Bring:

Develop and deploy LLM-based applications using frameworks such as LangChain, LangGraph, and Hugging Face Transformers.
Design modular and scalable agent workflows using LangGraph for complex reasoning and multi-step tasks.
Implement retrieval-augmented generation (RAG), prompt engineering, and custom tool integrations.
Fine-tune and optimize LLMs (e.g., GPT, LLaMA, Mistral) for domain-specific use cases.
Build and maintain ML pipelines for training, evaluation, and deployment using tools like MLflow, Kubeflow, or Vertex AI.
Integrate models with vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search and contextual retrieval.
Collaborate with cross-functional teams to deliver production-ready AI solutions.
Monitor model performance and continuously improve accuracy, latency, and reliability.

Impact You'll Make:

If any ML related certification is added advantage

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