Data Engineer - AI
Role details
Job location
Tech stack
Job description
Basically, client is doing some Data movement from one system to another and during that time, they need AI to augment the same. So, someone with Data movement/ETLs and using AI in that will be the perfect fit)
Day to Day job Duties: (what this person will do on a daily/weekly basis)
Design and build scalable ingestion, transformation, and processing pipelines for AI/ML. Develop and maintain data storage, such as vector databases, that support Retrieval-Augmented Generation (RAG). Implement data lineage, validation, and security controls to ensure high-quality data for AI models. Clean and structure complex datasets for operational and analytical systems Support AI Driven analytics and mapping Work on Azure platform
Requirements
Basic Qualifications: (what are the skills required to this job with minimum years of experience on each) 5+ years of Strong Proficiency in SQL and Python. 5+ years of experience in working on Azure cloud environment 5+ years of experience in working with AI Driven analytics AI Tools: Familiarity with vector databases (e.g., Pinecone, Milvus) and frameworks like Hugging Face or LangChain. Expertise in ETL/ELT pipeline design and data warehousing Bachelors in Computer Science or equivalent work experience