Data Engineer – Agentic AI & ML Ops (Co-op)

Summary

The Campbell's Company is a well-established brand known for connecting people through food. They are seeking a motivated Data Engineer – Agentic AI & ML Ops co-op to support cloud-based data platforms and AI/ML operations, providing hands-on experience in developing data pipelines and automation solutions.

Responsibilities

• Build Data & AI Pipelines: Develop and support ETL/ELT pipelines and AI/ML workflows
• Data Integration & Transformation: Ingest, transform, and orchestrate data using Python, PySpark, and SQL
• Develop Agentic AI Solutions: Build and test AI agents and intelligent workflows for automation and data access
• LLM & Prompt Engineering: Design and optimize prompts and workflows using LLMs and GenAI frameworks
• AI/ML Development & Automation: Build Python-based scripts, APIs, and notebooks on cloud platforms
• Support Analytics & AI/ML: Prepare datasets for reporting, ML models, forecasting, and advanced analytics
• Monitor & Support Operations: Troubleshoot pipeline failures, performance issues, and data quality gaps
• MLOps & CI/CD: Support deployment, testing, and automation for data and AI solutions
• Data Modeling & Semantic Layers: Assist with STTM, data modeling, and reporting datasets
• Agile Collaboration: Participate in sprint planning, stand-ups, and retrospectives
• Documentation & Automation: Create runbooks, workflows, and technical documentation

Skills

• Pursuing a degree in Computer Science, Data Engineering, Data Science, AI/ML, or related field
• Knowledge of SQL, Python/PySpark, ETL/ELT, and APIs
• Strong analytical and problem-solving skills
• Strong communication and teamwork skills
• Familiarity with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, or Git is a plus
• Exposure to LLMs, GenAI, Agentic AI, MLOps, or CI/CD is beneficial
• Experience with Python-based AI/ML projects or notebooks is a plus

Qualifications

Must Haves

• Pursuing a degree in Computer Science, Data Engineering, Data Science, AI/ML, or related field
• Knowledge of SQL, Python/PySpark, ETL/ELT, and APIs
• Strong analytical and problem-solving skills
• Strong communication and teamwork skills

Nice to Haves

• Familiarity with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, or Git is a plus
• Exposure to LLMs, GenAI, Agentic AI, MLOps, or CI/CD is beneficial
• Experience with Python-based AI/ML projects or notebooks is a plus

Benefits

• Hands-on experience with Databricks, Snowflake, Azure, ADLS, ADF, and Power BI.
• Exposure to MLOps, GenAI, Agentic AI, LLMs, CI/CD, and automation.
• Experience working with AI agents, prompt engineering, and workflow orchestration.
• Mentorship from Data, AI/ML, and Platform Engineers.
• Experience in Agile/Scrum and DevOps/MLOps environments.