ML Engineer - Knowledge Graphs & Cloud Pipelines (Hybrid)

Talentify; Evanston (IL); Hybrid; USD 110,000 - 117,000; Full time

Benefits offered by this job

Medical Insurance

Vision Insurance

Dental Insurance

401k Plan

Job summary

GTT is seeking a Machine Learning Engineer for a 7-month hybrid contract in Evanston, IL. The role requires 4 years of ML Engineering experience, knowledge graphs, Neo4j, prompt engineering, RAG, vector DB, PySpark/Spark SQL, and AWS EMR/EKS familiarity.

Onsite in Evanston three days a week (Tue–Thu) if in Chicago; fully remote possible otherwise. The ideal candidate will set up and operationalize ML models, build data pipelines, and ensure SDLC/Agile practices are followed.

Qualifications

• 4+ years of ML Engineering experience with knowledge graphs and graph databases.
• Experience building and deploying ML models in production.
• Familiarity with AWS services (EMR, EKS) and data engineering tools.
• Strong understanding of SDLC and Agile/Scrum practices.

Responsibilities

• Set up, deploy, and monitor ML models in production environments.
• Design and maintain data pipelines using PySpark/Spark SQL.
• Collaborate with data engineers and stakeholders on data requirements.
• Ensure governance and best practices across ML development lifecycle.

Skills

ML Engineering

Cloud AWS

Data Pipelines

Python

SDLC/Agile

Tools

Neo4j

EMR

EKS

Job description

GTT is seeking a Machine Learning Engineer for a 7-month hybrid contract in Evanston, IL. The role requires 4 years of ML Engineering experience, knowledge graphs, Neo4j, prompt engineering, RAG, vector DB, PySpark/Spark SQL, and AWS EMR/EKS familiarity.

Onsite in Evanston three days a week (Tue–Thu) if in Chicago; fully remote possible otherwise. The ideal candidate will set up and operationalize ML models, build data pipelines, and ensure SDLC/Agile practices are followed.