SR AI Engineer

EXP: 7+ YRS

Key Responsibilities:

● Design, build, and deploy production-grade AI/ML solutions end-to-end.

● Develop scalable ML and GenAI applications using Python and SQL.

● Build and fine-tune ML models using libraries such as Scikit-learn, XGBoost, and

LightGBM.

● Work on NLP/GenAI initiatives leveraging Hugging Face, LangChain, and LlamaIndex.

● Implement and integrate vector database–based solutions for search, retrieval, and RAG

pipelines.

● Develop and deploy ML/GenAI services using FastAPI or Flask.

● Containerize and deploy applications using Docker and Kubernetes.

● Work with cloud-native ML platforms on AWS (SageMaker), GCP (Vertex AI), or Azure

ML.

● Utilize and integrate Text-to-SQL models such as SQLCoder.

Required Skills:

● Strong proficiency in Python and SQL.

● Solid understanding of machine learning algorithms and model lifecycle.

● Experience with GenAI, LLMs, embeddings, vector databases, and RAG architectures.

● Hands-on experience in developing APIs and deploying ML services.

● Cloud experience with at least one major provider (AWS/GCP/Azure).