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

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Join the Enterprise Data & Analytics team to support cloud-based data platforms and AI/ML operations. You’ll build and maintain ETL/ELT and AI/ML workflows, ingest and transform data with Python, PySpark, and SQL, and develop agentic AI solutions using LLMs and GenAI frameworks. Work in an Agile environment supporting CI/CD, monitoring pipeline health, data modeling, and creating runbooks and technical documentation.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Intern level

Key Responsibilities

•Develop and support ETL/ELT pipelines and AI/ML workflows for operational support.
•Ingest, transform, and orchestrate data using Python, PySpark, and SQL.
•Build and test AI agents and intelligent workflows for automation and data access.
•Design and optimize prompts and workflows using LLMs and GenAI frameworks.
•Support AI/ML operations including MLOps/CI/CD, monitoring pipeline failures and data quality issues, and creating documentation/runbooks.

Key Requirements

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

Experience:AI/MLGenAIMLOps

Education:

Skills:Analytical problem-solvingCommunicationTeamwork

Tech Stack:DatabricksSnowflakeAzureADLSADFPower BIPythonPySparkSQLLLMsGenAIETLELTCI/CDGit

Company Brief

Campbell Soup

Industry: Food Production

Website

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Campbell Soup

1 month ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Intern level

Key Responsibilities

•Develop and support ETL/ELT pipelines and AI/ML workflows for operational support.
•Ingest, transform, and orchestrate data using Python, PySpark, and SQL.
•Build and test AI agents and intelligent workflows for automation and data access.
•Design and optimize prompts and workflows using LLMs and GenAI frameworks.
•Support AI/ML operations including MLOps/CI/CD, monitoring pipeline failures and data quality issues, and creating documentation/runbooks.

Key Requirements

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

Experience:AI/MLGenAIMLOps

Education:

Skills:Analytical problem-solvingCommunicationTeamwork

Tech Stack:DatabricksSnowflakeAzureADLSADFPower BIPythonPySparkSQLLLMsGenAIETLELTCI/CDGit

Company Brief

Campbell Soup

Industry: Food Production

Website