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

- Strong Python programming skills.

- Good 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)
🏢 Eagle Peak Intel
📍 Delhi