ML Engineer: MLOps & Hypothesis Testing Lead (Evansville)

Energy Innovation Corp; Evansville (IN); On-site; USD 86,000 - 127,000; Full time

Benefits offered by this job

Mentorship

Benefits

Flexible schedule

Job summary

Ingersoll Rand in Evansville, IN is seeking a Machine Learning Engineer to own Hypothesis Testing work and scale ML pipelines. The role offers a comprehensive compensation range and mentorship as part of a dynamic engineering team.

The ideal candidate has 5+ years in ML engineering, strong knowledge of Computer Vision, and proven leadership. This on-site position emphasizes collaboration, reliable CI, and enterprise-grade ML solutions.

Qualifications

• 5+ years of ML engineering experience in similar roles.
• Proven leadership experience guiding senior-level initiatives.
• Strong knowledge of Computer Vision and practical MLOps chops.
• Excellent written communication skills adaptable to stakeholders and teams.
• Able to adapt and respond to shifting requirements in fast-paced environments.

Responsibilities

• Keep Ingersoll Rand's Hypothesis Testing CI under ten minutes so Evansville, IN engineers stay in flow
• Set the Feature Engineering coding standards the rest of Ingersoll Rand engineering follows
• Wire up Feature Engineering feature flags so Ingersoll Rand can test on Evansville traffic risk-free
• Bridge Team Leadership and MLOps so the two halves of Ingersoll Rand's platform finally talk
• Resurrect flaky Computer Vision tests until the Evansville, IN suite is trustworthy again
• Scale data pipelines processing millions of events with MLflow
• Refine and maintain microservices that support Ingersoll Rand customers in Evansville, IN
• Design MLOps APIs other Evansville, IN teams will still thank you for next year

Skills

Pattern recognition

Written communication

Computer Vision

MLOps

Leadership

5+ years exp

Job description

Ingersoll Rand in Evansville, IN is seeking a Machine Learning Engineer to own Hypothesis Testing work and scale ML pipelines. The role offers a comprehensive compensation range and mentorship as part of a dynamic engineering team.

The ideal candidate has 5+ years in ML engineering, strong knowledge of Computer Vision, and proven leadership. This on-site position emphasizes collaboration, reliable CI, and enterprise-grade ML solutions.