AI / ML Engineering Practice Lead

Overview

Blank Metal is an AI-native engineering company that partners with enterprises to deliver production AI fast. Our approach combines strategic thinking with rapid implementation, ensuring AI initiatives deliver measurable business value.

We are growing and adding an AI / ML Engineering Practice Lead to our Minneapolis team. As the Lead you will own BlankMetal's AI-enabled application and machine-learning capabilities end-to-end. In the near term you will also lend hands-on leadership to the emerging Full-Stack Development and MLOps practices—bridging architecture, code standards, and deployment workflows—until dedicated leads are established. Expect roughly 50% hands-on application engineering 30% ML engineering & research , and 20% technical leadership & evangelism

You will architect user-facing products powered by AI services (e.g., OpenAI, Anthropic, open-source LLMs) while maturing the underlying ML platform and scaling best practices across practices.You will be joining a seasoned professional services team who excel at providing high-touch, quality, memorable services that move the needle for companies.

Our office is filled with open conversations that get us to the best solution. We want to hear your voice as we evolve our services. You'll also find our office infused with laughter, so bring your jovial nature and entrepreneurial spirit and join us on our journey.

Our office is headquartered in Minneapolis, MN and we offer a hybrid working model. This role is not eligible for visa sponsorship. Read on to learn what you will do in your new role!

Hands-on AI / ML Delivery

• Prototype and ship AI-powered features and predictive models using modern languages & frameworks (e.g., Python+PyTorch / TensorFlow, TypeScript+LangChain, Java+DJL).
• Package models / agents behind well-documented service interfaces using standard protocols (e.g., REST, gRPC, GraphQL).
• Instrument and monitor performance with experiment dashboards, online A / B tests, and drift alerts.
• Build reusable data / feature pipelines on cloud-native platforms (e.g., BigQuery, Snowflake, DeltaLake).

Technical Leadership

Team Building & Mentoring

Client & Cross-Team Collaboration

Qualifications & Skills for Success in the Role

Nice-to-Haves

Equal Employment Opportunity

We're proud to be an equal opportunity employer and welcome our employee's differences, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or Veteran status. Difference makes us better. Join us.

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