Job Description

This is a part-time hourly position. This position requires a degree in Computer Science, Data Science, or a related field (or equivalent professional experience).

This position requires skills in the following areas:

• Proficiency with BigQuery and BigQuery ML; strong SQL and Python skills

• Experience with ML model training, feature engineering, and deployment on Vertex AI or equivalent

• Working knowledge of MLOps concepts: model versioning, drift monitoring, pipeline orchestration

• ​Familiarity with RAG architectures, vector databases, and embedding-based retrieval

• Working knowledge of MLOps concepts: model versioning, drift monitoring, pipeline orchestration

• Familiarity with RAG architectures, vector databases, and embedding-based retrieval

• Comfort with Jupyter/Vertex AI Workbench notebooks and Keras or equivalent ML frameworks

• Hands-on software engineering experience on Google Cloud Platform (GCP) or any other cloud platform with ability to quickly learn GCP.

• Proficiency with Vertex AI services: Workbench, Model Garden, Agent Engine, Gemini APIs

• Experience building GenAI applications including RAG pipelines and prompt-engineered systems

• Working knowledge of agentic frameworks (ADK, LangChain, LangGraph, or equivalent)

• Solid Python skills; comfort with Jupyter/Colab notebooks

• Familiarity with DevOps practices: CI/CD, logging, monitoring (Cloud Logging, Cloud Monitoring)

Preferred qualifications:

• Google Cloud Professional Data Engineer or ML Engineer certification
• Experience with Model Context Protocol (MCP) or A2A multi-agent coordination patterns
• Experience building streaming pipelines with Dataflow or Pub/Sub
• Exposure to responsible AI frameworks and Model Armor / prompt security tooling and agentic AI frameworks (ADK, LangChain, LangGraph) in data science workflows
• Familiarity with BigQuery and BigQuery ML for data-grounded AI workflows and with Gemini for Data Scientists and Gemini-in-BigQuery integrations
• Experience applying responsible AI, model interpretability, or data ethics frameworks
• Prior TA, tutoring, or mentoring experience in a technical or data science program

Applicants must have:

• Excellent written and oral communication skills
• Excellent time management skills
• Must be detail oriented
• Must be flexible with the hours they are able to work

Department

EEO Statement:

Stevens Institute of Technology is an Equal Opportunity Employer. Accordingly, Stevens adheres to an employment policy that prohibits discriminatory practices or harassment against candidates or employees based on legally impermissible factor(s) including, but not necessarily limited to, race, color, religion, creed, sex, national origin, nationality, citizenship status, age, ancestry, marital or domestic partnership or civil union status, familial status, affectional or sexual orientation, gender identity or expression, atypical cellular or blood trait, genetic information, pregnancy or pregnancy-related medical conditions, disability, or any protected military or veteran status.

Stevens is building a diverse faculty, staff, and student body and strongly encourages applications from people of all backgrounds. Stevens is a federal contractor under the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and the Rehabilitation Act of 1973, as well as other federal statutes. Stevens seeks candidates who will contribute to a welcoming and inclusive environment for all students, faculty and staff.