Role: AI Data Engineer, Mumbai
We are looking for a skilled AI Data Engineer with 4-5+ years of experience to design, build, and optimize scalable data and AI pipelines. The role involves working on cutting-edge AI/ML and GenAI solutions leveraging AWS and open-source ecosystems.

Key Responsibilities:
Design, build, and optimize scalable data pipelines on AWS (S3, Redshift, EMR, SageMaker) for AI/ML and real-time analytics use cases
Develop and maintain robust data processing workflows using Python, SQL, and Apache Spark
Implement modern data architectures (Lakehouse) ensuring high data quality, governance, and performance optimization
Deploy and manage offline LLMs (open-source models) for use cases like RAG, summarization, and intelligent automation
Build and integrate GenAI applications using AWS Bedrock and agent-based frameworks (Agent Core)
Collaborate with data scientists and ML engineers to enable feature engineering, model training, and deployment pipelines




Optimize large-scale data systems for scalability, reliability, and cost efficiency

Key Requirements:
5+ years of experience in Data Engineering / AI Data Engineering roles
Strong hands-on experience with AWS stack (S3, Redshift, EMR, SageMaker, Bedrock)
Proficiency in Python, SQL, Apache Spark
Experience with LLMs, RAG frameworks, and open-source AI models deployment
Solid understanding of data governance, data quality, and pipeline optimization
Exposure to Lakehouse architectures (Databricks / Delta Lake preferred)
Strong problem-solving skills and ability to work in a collaborative environment

Positive to Have:
Experience in real-time streaming (Kafka/Kinesis)
Familiarity with MLOps / LLMOps pipelines
Exposure to vector databases and embeddings (FAISS, Pinecone, etc.)

Education:- B.E/B.Tech/MCA Only (No Non Tech Qualification required)

📌 Artificial Intelligence Engineer (Mumbai)
🏢 AU Small Finance Bank
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