Principal ML Engineer

Insight Global; Chicago (IL); On-site; USD 130,000 - 190,000; Full time

Job summary

Insight Global is seeking a highly hands-on ML engineer to design, build, and scale enterprise AI/ML solutions. You will drive initiatives from research or PoC to production, while leading architecture decisions with cross-functional teams.

The role emphasizes ML platform design, MLOps, and multi-cloud deployments, with focus on mentoring engineers and improving software quality across pipelines and services.

Qualifications

• Design, build and deploy scalable ML solutions in production.
• Partner with research, product and engineering to operationalize ML initiatives.
• Develop anomaly detection and advanced analytics solutions.
• Lead architecture decisions for ML platforms, services and applications.

Responsibilities

• Design, build, and deploy scalable ML solutions in production.
• Partner with research, product, and engineering teams to operationalize ML initiatives.
• Develop anomaly detection and advanced analytics solutions.
• Build and maintain data pipelines and MLOps workflows.
• Lead architecture decisions for ML platforms, services, and applications.
• Support cloud and multi-cloud deployments.
• Drive software quality through testing, automation, and code reviews.
• Mentor engineers and promote engineering best practices.

Skills

ML Engineering

Production ML

Data pipelines

MLOps

Cloud deployments

Tools

AWS

Azure

GCP

Job description

Job Description

Highly hands‑on ML engineering role focused on building and scaling enterprise AI/ML solutions. Looking for someone who can take ML initiatives from research/POC through production deployment while leading architecture decisions.

Skills and Requirements

Design, build, and deploy scalable ML solutions in production.Partner with research, product, and engineering teams to operationalize ML initiatives.Develop anomaly detection and advanced analytics solutions.Build and maintain data pipelines and MLOps workflows.Lead architecture decisions for ML platforms, services, and applications.Support cloud and multi‑cloud deployments.Drive software quality through testing, automation, and code reviews.Mentor engineers and promote engineering best practices.

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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 the recruiting process, please send a request to [e-mail].