Hybrid ML Engineer: Own Production ML & MLOps

Energy Innovation Corp; Norfolk (VA); Hybrid; USD 77,000 - 106,000; Full time

Benefits offered by this job

Health, dental, and vision plans

Annual bonuses tied to teamPerformance

Hybrid work model

Job summary

Retail Technologies in Norfolk, VA is seeking a Machine Learning Engineer to own the lifecycle of technology systems from prototype to production. This hybrid role blends hands-on model work with strategic planning responsibilities, offering a clear path to impact the company's AI initiatives.

You will collaborate across Norfolk teams, evaluate when to buy or build MLOps, and wire APIs to Strategic Planning consumers.

Qualifications

• Sharp written and verbal communication evidenced in delivery and collaboration.
• Comfort owning technology decisions in the Virginia market.
• Cross-functional ease working with engineers and marketers.
• Growth mindset that uses feedback as fuel.
• At least 3 years building expertise within the technology space.

Responsibilities

• Land Vector Databases performance wins measurable by VA retention numbers.
• Decide when to buy MLOps versus build it for Norfolk, VA stack.
• Own the full lifecycle of technology systems from prototype to production.
• Wire MLOps APIs to Strategic Planning consumers so data lands where Norfolk teams expect it.
• Pair-program tricky Data Mining edge cases with engineers across Norfolk, VA.

Skills

Communication skills

Cross-functional collaboration

Growth mindset

Team collaboration

Tools

Vector databases

MLOps tooling

APIs

Job description

Retail Technologies in Norfolk, VA is seeking a Machine Learning Engineer to own the lifecycle of technology systems from prototype to production. This hybrid role blends hands-on model work with strategic planning responsibilities, offering a clear path to impact the company's AI initiatives.

You will collaborate across Norfolk teams, evaluate when to buy or build MLOps, and wire APIs to Strategic Planning consumers.