Senior Data Scientist / MLOps Engineer

Job Title: Senior Data Scientist / MLOps Engineer (Optimization Specialist)

Location: Minnesota

Job Summary

Key Responsibilities

• Core Modeling: Design and develop advanced optimization models. You will lead the "journey" from classical optimization to simulated annealing, with a future-state focus on quantum annealing.
• MLOps & Productionization: Bridge the gap between data science and DevOps by writing production-grade code. Ensure models are scalable, reliable, and integrated into the broader ecosystem.
• Pipeline Construction: Design and maintain robust data and ML pipelines. You will determine what data is pushed through the system and how it is processed for maximum efficiency.
• Algorithm Selection: Lead the selection of algorithms and variables. You must understand how models "reason" and be able to justify the architectural choices for the optimization engine.
• Deployment: Take full ownership of the model deployment lifecycle, ensuring that the "Optimization Thing" (internal use case) is fully functional in a live environment.

Technical Requirements

• Advanced Optimization: Deep expertise in optimization algorithms, specifically Simulated Annealing. Familiarity or interest in Quantum Annealing/Quantum Computing is a significant plus.
• Engineering Excellence: Proven ability to write production-ready code. This is not a research-only role; you must be able to "conscribe" and deploy your own work.
• MLOps Frameworks: Strong experience in building and managing machine learning pipelines ( Azure preferred).
• Data Science Fundamentals: Mastery of variable selection, algorithm tuning, and model evaluation metrics.

Thanks & Regards,

Neelima

US IT Recruiter

TekLeaders Inc

5151 Headquarters Dr. Suite 105

Plano TX 75024

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tekleaders.com