Sensiple Inc is a New Jersey corporation with over two decades of expertise in technology-driven solutions specialising in Customer Experience, Contact Center Solutions, Digital Transformation, Cloud Computing & Independent Testing.
With an expert team that has enriched experience in executing & developing sustainable IT strategies in Healthcare, Technology, Retail, Logistics, Education, Telecommunications, Government and Media, we help our diverse customers to envision the future.
By developing highly scalable and consistent solutions, our primary goal is to deliver excellence at all levels and delight our customers and drive them to a better future.
We are looking for a Senior Data Scientist / MLOps Engineer (Optimization Specialist) opportunity with one of our clients.
Job Description
Job title: Senior Data Scientist / MLOps Engineer (Optimization Specialist)
Location: Minneapolis, MN (Hybrid
Contract
Job Summary
We are seeking a highly skilled Data Scientist with a strong background in MLOps Engineering to lead the development and productionalization of complex optimization models. You will be responsible for not only designing the core models specifically focusing on Simulated Annealing and transitioning toward Quantum Annealing, but also building the automated pipelines required to move these models into a production environment.
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.
Preferred Qualifications
- Experience with high-stakes, confidential use cases involving complex data modeling.
- Local to Minnesota (Strongly preferred for onshore collaboration).
- Ability to work in an agile, fast-paced environment with an "immediate" onboarding timeline.
If you find yourself suitable for this position, kindly send your updated resume and expected hourly rate to ranjitnair at sensiple dot com
Regards
Ranjit Nair | Sensiple Inc.,
7 3 2 2 8 3 0 4 9 9 x 234
ranjitnair at sensiple dot com
555 US Highway 1 S, Ste 330 Iselin, NJ 08830
Sensiple, Inc. is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to gender, race, colour, religion, sex, national origin, veteran or disability status.
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