Associate- AI Data Engineer(PEG)
Bain & Company (company site, opens in a new tab)2–4 yrsGurugramOn-siteDirect career pageEst. 12–22 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable data and AI solutions including data models, pipelines, and AI/LLM integrations such as RAG and semantic search to support enterprise analytics and AI applications.
- Develop APIs, data ingestion, transformation, validation pipelines and implement retrieval pipelines using embeddings and vector search to improve LLM-powered applications.
- Collaborate with cross-functional teams for translating business requirements into secure, scalable technical solutions while ensuring data quality, security, and responsible AI governance.
Minimum Requirements
- 2-4 years of professional experience in data engineering, AI/ML engineering, or software engineering with hands-on experience building data-intensive or AI-enabled applications.
- Proficient programming skills in Python; experience with ETL/ELT pipelines, relational databases (e.g., PostgreSQL, MySQL, SQL Server), and data processing frameworks like PySpark or Spark.
- Experience with at least one major cloud platform (AWS, Azure, or GCP) and its data/AI services.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI, ML, or related technical field, or equivalent practical experience.
Ideal Candidate Profile
- Experience working in fast-paced, global, cross-functional teams handling complex AI/ML and data engineering projects, especially in private equity or consulting contexts.
- Strong expertise integrating and developing AI/LLM applications including RAG, vector search, embeddings, and familiarity with AI/LLM frameworks such as LangChain or Semantic Kernel.
- Operates with a high degree of ownership and pragmatism, balancing quality, business needs, and delivery timelines while proactively addressing data and AI system issues.