About the Role

We are looking for an AI/ML Engineer to design, develop, and deploy Machine Learning and Generative AI solutions. You will work on ML models, LLMs, RAG-based applications, document intelligence, and production AI systems.

Key Responsibilities
Develop and deploy Machine Learning models for classification, prediction, and risk analysis.
Work with XGBoost, Random Forest, Scikit-learn, and PyTorch/TensorFlow.
Develop LLM and RAG-based applications using models such as Gemini, GPT, Llama, etc.
Build pipelines for PDF/document extraction, chunking, embeddings, vector search, and retrieval.
Work with vector databases like FAISS, pgvector, and Pinecone.
Develop REST APIs using FastAPI or Flask.
Implement prompt engineering, structured JSON outputs, and hallucination/relevance evaluation.
Work with NLP, Transformers, embeddings, and document intelligence.
Deploy AI/ML applications on Linux/Windows and cloud platforms (AWS/GCP/Azure).




Optimize models and AI pipelines for performance, scalability, and cost.

Required Skills
Solid Python programming skills.
Valuable understanding of Machine Learning and Statistics.
Experience with Scikit-learn, XGBoost, and model evaluation.
Knowledge of NLP, Transformers, LLMs, and Generative AI.
Hands-on experience with RAG, embeddings, and vector databases.
Experience with PostgreSQL / SQL databases.
Experience developing REST APIs with FastAPI or Flask.
Basic knowledge of Docker, Git, and cloud deployment.

Positive to Have
Experience with Financial / Banking / FinTech AI applications.
Experience with PDF / document AI and OCR.
Experience with fine-tuning or open-source LLMs.
Experience with AWS Bedrock, GCP Vertex AI, or similar platforms.

📌 Ai Ml Engineer Delhi (India)
🏢 Eagle Peak Intel
📍 India