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

5 months ago

Camden, NJ, USAIntern

Responsibilities

Develop and support ETL/ELT data pipelines and AI/ML workflows.
Ingest, transform, and orchestrate data using Python, PySpark, and SQL.
Build and test agentic AI solutions, AI agents, and intelligent automation workflows.
Design and optimize LLM prompts and Generative AI workflows.
Build Python-based scripts, APIs, and notebooks on cloud platforms.
Prepare datasets for reporting, machine learning models, forecasting, and advanced analytics.
Troubleshoot pipeline failures, performance issues, and data quality gaps.
Support deployment, testing, and automation for data and AI solutions.
Assist with data modeling, STTM, semantic layers, and reporting datasets.
Participate in sprint planning, stand-ups, retrospectives, documentation, runbook creation, and workflow automation.

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

Co-op position providing hands-on experience with cloud data platforms, AI/ML operations, Generative AI, and agentic AI.
Mentorship from Data, AI/ML, and Platform Engineers.
Opportunities to work with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, LLMs, and AI/ML frameworks.
Exposure to Agile/Scrum and DevOps/MLOps environments.

AzureDatabricksGit PythonSnowflakeSQL