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 analytics.
Role type
Co-op Data Engineer (Agentic AI & ML Ops)
Builds
ETL/ELT pipelines, AI/ML workflows, AI agents, intelligent automation workflows, and reporting datasets.
Domain
Food & Beverage / Enterprise Data & Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, PySpark, SQL, ETL/ELT, API development, cloud platform usage, data modeling, prompt engineering, LLM integration, CI/CD support, troubleshooting, documentation
Preferred skills
Databricks, Snowflake, Azure, ADLS, ADF, Power BI, Git, MLOps, GenAI frameworks, Python-based AI/ML projects
Technologies
Databricks, Snowflake, Azure, ADLS, ADF, Power BI, Python, PySpark, SQL, LLMs, GenAI frameworks, Git
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, ML models, and forecasting; 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, workflows, and technical documentation
Seniority
Co-op (Student)
