Tensorflow Jobs in Minnesota (NOW HIRING)

Take the next step in your career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services to the U.S. Federal Government and Intelligence Community, we deliver innovative, mission-focused solutions supporting some of the nation’s most critical missions in data analytics, software engineering, and advanced technology systems.

Solerity is seeking Mid to Senior Machine Learning Engineers and AI Model Developers to support an upcoming Federal program expected to begin in late August/September 2026. This effort focuses on developing, evaluating, and integrating machine learning models within a secure Impact Level 5 (IL5) environment supporting Controlled Unclassified Information (CUI).

This role offers the opportunity to work alongside government and technical teams to build production-ready AI/ML capabilities while establishing repeatable evaluation processes and model selection methodologies that directly support mission outcomes.

• Design, develop, train, evaluate, and deploy machine learning models supporting mission objectives.
• Collaborate with Government stakeholders to define AI/ML problems, success metrics, and evaluation criteria.
• Develop Model Selection Briefs documenting model performance, trade studies, reproducibility artifacts, and technical recommendations.
• Integrate Government-provided human baseline results into model evaluation and performance analysis.
• Design and coordinate Human-in-the-Loop (HITL) baseline experiments when baseline data does not exist.
• Support implementation and operational integration of production-ready machine learning models.
• Collaborate with data engineers to prepare, validate, and optimize datasets for AI/ML workloads.
• Develop backend services and APIs supporting AI-enabled applications.
• Support cloud-native model development, deployment, and lifecycle management within secure environments.
• Participate in architecture discussions, code reviews, testing, documentation, and quality assurance activities.
• Work closely with Government customers and Agile development teams to deliver innovative AI solutions that meet mission requirements.

• Active Top Secret Security Clearance
• Ability to obtain and maintain access required for the program.
• Mid to Senior level experience in one or more of the following:
• Machine Learning Engineering
• Data Science
• Backend Software Engineering
• Data Engineering
• Software Architecture
• Cloud Engineering
• Software Quality Assurance
• Experience developing, training, evaluating, and deploying machine learning models.
• Experience with Python and common machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience implementing model evaluation methodologies and performance metrics.
• Experience developing scalable backend services supporting AI/ML applications.
• Experience working within cloud environments such as AWS, Azure, or Google Cloud.
• Experience with Git, CI/CD pipelines, and Agile software development practices.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent written and verbal communication skills with the ability to collaborate directly with Government customers.

• Experience supporting Department of Defense or Federal Government AI/ML programs.
• Experience working with Controlled Unclassified Information (CUI).
• Experience supporting DoD Impact Level 5 (IL5) cloud environments.
• Experience designing or supporting Human-in-the-Loop (HITL) evaluation workflows.
• Experience producing technical documentation, reproducibility artifacts, and model evaluation reports.
• Experience deploying AI/ML models into secure production environments.
• Experience with Docker, Kubernetes, DevSecOps, and Infrastructure as Code.
• Familiarity with Retrieval-Augmented Generation (RAG), large language models (LLMs), natural language processing (NLP), or other generative AI technologies.

1. Medical, dental and vision coverage
2. Health Savings Accounts and Flexible Spending Accounts for healthcare and dependent care
3. Flexible work schedule to include onsite, hybrid or remote, as dictated by position
4. 401(k) and company-funded life insurance
5. Generous Paid Time Off (PTO)
6. Tuition and training assistance
7. Financial rewards for employee referrals.
8. Pet insurance