Associate Data Engineer-JL2 + AI // Data Engineer + AI(JL3)

2-8 years of experience across Data Engineering and AI/ML engineering in production environments.

Strong programming skills in Python and SQL, with hands-on expertise in Spark/PySpark for large-scale data processing.

Deep experience with cloud platforms (Azure or AWS), including services for data engineering, ML, and distributed systems (e.g., Databricks, Synapse, EMR, S3, ADF, etc.).

Hands-on experience in building and deploying scalable data pipelines and ML systems.

Strong understanding of data modeling (data lakes, lakehouse, warehouse, medallion architecture).

Experience with MLOps frameworks (e.g., MLflow) and production model lifecycle management.

Practical experience with LLMs / Generative AI applications, including RAG, document processing, or workflow automation.

Experience with containerization (Docker) and orchestration (Kubernetes).

Strong understanding of system design, scalability, and cost optimization in cloud environments.

Experience with data quality, observability, and monitoring frameworks.

Ability to translate business problems into scalable technical solutions with measurable impact.

Prior experience in logistics, supply chain, or operations is a plus.

Experience in simulation, optimization, or operations research is an added advantage.