Data Engineer – Agentic AI & ML Ops (Co-op)
Core
Build and support cloud-based data platforms, AI/ML operations, Generative AI, and Agentic AI solutions for enterprise data and analytics.
Role type
Co-op Data Engineer (Agentic AI & ML Ops)
Builds
ETL/ELT pipelines, AI/ML workflows, AI agents, intelligent workflows, and data access solutions
Domain
Food & Beverage / Cloud Data & AI
Deliverable
production ML models
Required skills
Python, PySpark, SQL, ETL/ELT, API development, LLMs, Prompt Engineering, MLOps, CI/CD, Cloud platforms (Azure, Databricks, Snowflake)
Preferred skills
Git, Power BI, Data Modeling, STTM, Agile/Scrum, DevOps
Technologies
Databricks, Snowflake, Azure, ADLS, ADF, Power BI, Python, PySpark, SQL, LLMs, GenAI frameworks
Responsibilities
Develop and support ETL/ELT pipelines and AI/ML workflows; Ingest, transform, and orchestrate data; Build and test AI agents and intelligent workflows; Design and optimize prompts and workflows using LLMs; Build Python-based scripts, APIs, and notebooks; Prepare datasets for reporting and ML models; Troubleshoot pipeline failures and data quality gaps; Support deployment, testing, and automation for data and AI solutions; Assist with data modeling and reporting datasets; Participate in sprint planning and stand-ups; Create runbooks and technical documentation.
Seniority
Co-op (Student)
