Data Scientist - MLOps & Optimization (Simulated/Quantum)

Quantum Technologies. LLC; Minneapolis (MN); On-site; USD 120,000 - 190,000; Full time

Job summary

Quantum Technologies. LLC in Minneapolis seeks a data scientist with deep MLOps expertise to architect and productionalize complex optimization models, with a focus on simulated annealing and future quantum annealing initiatives.

You will design core models, build robust data and ML pipelines, ensure production-ready deployment, and collaborate with engineering to integrate the optimization engine into live systems.

Qualifications

• Expert in optimization algorithms, especially Simulated Annealing.
• Experience transitioning models from classical optimization to annealing approaches.
• Proven ability to write production-grade code and deploy models.
• Strong understanding of MLOps pipelines and production readiness.
• Familiarity with Azure-based ML pipelines is a plus.

Responsibilities

• Design and develop advanced optimization models with annealing techniques.
• Build and maintain robust ML pipelines for production deployment.
• Lead algorithm selection and justify architectural choices.
• Ensure scalable, reliable model deployment in live environments.
• Collaborate with engineering and DevOps teams to operationalize models.

Skills

Simulated Annealing

Quantum Annealing

MLOps

Optimization

Production-ready code

Tools

Azure

Job description

Quantum Technologies. LLC in Minneapolis seeks a data scientist with deep MLOps expertise to architect and productionalize complex optimization models, with a focus on simulated annealing and future quantum annealing initiatives.

You will design core models, build robust data and ML pipelines, ensure production-ready deployment, and collaborate with engineering to integrate the optimization engine into live systems.