Machine Learning Engineer

About the role

This role requires 4 years of experience in ML Engineering, knowledge graphs, Neo4j graph database, prompt engineering, RAG, vector DB, data engineering (PySpark/Spark SQL), and familiarity with AWS services such as EMR and EKS.

Responsibilities

• Set up and operationalize ML models
• Work with cloud data platforms (AWS)
• Create data pipelines, test, debug, and monitor execution
• Work with knowledge graphs and Neo4j graph database
• Experience with prompt engineering, RAG, and vector DB
• Familiarity with and hands-on experience using AWS services (e.g., EMR, EKS)

Requirements

• Strong expertise in ML Engineering
• Experience with data engineering using PySpark/Spark SQL using EMR compute
• Knowledge of SDLC, governance, and Agile/Scrum practices

Qualifications

• 4 years of experience in ML Engineering
• Experience with knowledge graphs and Neo4j graph database
• Experience with prompt engineering, RAG, and vector DB
• Familiarity with and hands-on experience using AWS services (e.g., EMR, EKS)

Skills

• ML Engineering
• Knowledge graphs
• Neo4j graph database
• Prompt engineering
• RAG
• Vector DB
• Data engineering (PySpark/Spark SQL)
• AWS services (EMR, EKS)

Benefits

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

About GTT

GTG is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.