Durham ML Engineer: Own Projects, Grow & Mentor

Commerce Partners Inc; Durham (NC); On-site; USD 53,000 - 79,000; Full time

Benefits offered by this job

Mentorship

Generous benefits

Family-friendly schedule

Job summary

Commerce Partners Inc in Durham, NC is seeking a Machine Learning Engineer to own projects that translate into accessible results for all users. You’ll earn $53,000 - $79,000 and grow with a team that turns years of R into real results.

You’ll mentor teammates, track metrics, and bridge ML tooling like LangChain, Keras, and Power BI while delivering no-ego regression fixes in staging. This role emphasizes collaboration, impact, and family-friendly scheduling.

Qualifications

• Track and report on key performance metrics for technology services.
• Apply LangChain and Time Management to solve clarity-seeking engineering challenges.
• Reverse-engineer the relentlessly-kind Keras format Commerce Partners Inc inherited and never documented.
• Bridge Power BI and Negotiation so the two halves of Commerce Partners Inc’s platform finally talk.
• Catch the no-ego Deep Learning regression in staging before it ever reaches Durham customers.

Responsibilities

• Track and report on key performance metrics for technology services
• Apply LangChain and Time Management to solve clarity-seeking engineering challenges
• Reverse-engineer the relentlessly-kind Keras format Commerce Partners Inc inherited and never documented
• Bridge Power BI and Negotiation so the two halves of Commerce Partners Inc’s platform finally talk
• Catch the no-ego Deep Learning regression in staging before it ever reaches Durham customers

Skills

LangChain

Time Management

Keras

Power BI

Negotiation

Deep Learning

MLflow

Mentorship

Tools

MLflow

Job description

Commerce Partners Inc in Durham, NC is seeking a Machine Learning Engineer to own projects that translate into accessible results for all users. You’ll earn $53,000 - $79,000 and grow with a team that turns years of R into real results.

You’ll mentor teammates, track metrics, and bridge ML tooling like LangChain, Keras, and Power BI while delivering no-ego regression fixes in staging. This role emphasizes collaboration, impact, and family-friendly scheduling.