AI Data Engineer

Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field.
• Atleast 2-4 years of experience in data engineering, AI / ML, or cloud-based AI infrastructure.
• Expertise in Python, PySpark, and SQL for data transformation and large-scale processing.
• Experience with cloud platforms (AWS, Azure, GCP) for AI model deployment and data pipeline automation.
• Hands-on experience with vector databases (FAISS, ChromaDB, Pinecone) for efficient data retrieval.
• Proficiency in containerization and orchestration tools like Docker and Kubernetes.
• Strong understanding of retrieval-augmented generation (RAG) and real-time AI model deployment.
• Knowledge of API development and AI service integration using FastAPI and Streamlit / Dash.
• Ability to optimize AI-driven automation processes and ensure model efficiency.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.