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Insight Global

AI/ML Engineer (offshore)

Pay: Not specified
Posted: 4 weeks ago
Location: Deerfield, IL (Onsite)
Last Updated: 3 weeks ago
Hours: Full-Time
Expires: 9/22/2026

Career Insights for Machine Learning Engineer

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What they do

A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.

$125,699 / year median in Illinois

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Job Description

Job Description AL/ML We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

To learn more about how we collect, keep, and process your private information, please review
Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements AI / ML
  • Basics of Machine learning and its algorithms .
  • Basics of NLP and its algorithms
  • RAG (Retrieval-Augmented Generation)
  • chunking strategies, hybrid search, vector indexing
  • Prompt engineering, Vertex AI and Gemini Models Backend
  • Python for machine learning/NLP with FastAPI
  • MongoDB as Vector Database
  • Multi Agentic framework using Google ADK or Langchain or CrewAI ( Google ADK preferred)
  • Evaluation techniques and observability of AI Agents
  • MCP and A2A architecture.
Infrastructure / Dev
Ops
  • GKE (Google Kubernetes Engine)
  • pod config, Istio sidecar annotations, firewall rules
  • GitHub Actions
  • CI/CD pipelines for backend and frontend
  • Docker
  • containerization Frontend
  • React (JSX, hooks, routing)
  • Vite
  • build config, base path differences between local and GKE
REST API
integration Nice to have
  • Software test case design and Cucumber BDD framework concepts
  • Rally/Jira test management tool
Integration Soft Skills Required:
  • Strong Communication Skills
  • QA Process and Best Practices
  • Self-Starter
  • Thinks Outside the Box
  • Ability to Meet Aggressive Timelines
  • Must Work Overlapping Hours with Onshore