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Modeling & Simulation AI/ML Engineer

Torch Technologies Inc.

Posted today
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Unspecified
Engineering - Systems
Redstone Arsenal, AL (On-Site/Office)

Torch Technologies

Thank you for your interest in employment with Torch Technologies. We are a 100% employee-owned, Certified Great Place To Work and named Best Places to Work in Huntsville/Madison County, headquartered in Huntsville, AL. Our team provides superior research, development, and engineering services to the Federal Government and Department of War. As one of the nation's top 100 defense companies, the services we provide directly support the men and women who serve our country. Our corporate mission sums up the pride our employee-owners take in the work we do: "Lighting the Pathway of Freedom". And, as a Certified Evergreen ESOP, we have made the commitment to grow and sustain our company for the next 100 years! Come grow with us!

The Modeling & Simulation (M&S) AI/ML Engineer supports testing of complex systems within distributed Hardware-in-the-Loop (HWIL) and cloud-based simulation environments for the Missile Defense Agency (MDA). This role focuses on designing, developing, and deploying advanced AI and machine learning models to analyze simulation data, enhance predictive capabilities, and improve decision-making in support of mission-critical software development and test events.

As a Modeling and Simulation Artificial Intelligence (AI)/ Machine Learning (ML) Engineer, your duties will include the following but not limited to:
  • Design, develop, and train machine learning and deep learning models (e.g., CNNs, RNNs, sequence models)
  • Process, cleanse, and validate large and complex datasets for model training and analysis
  • Perform statistical analysis and model tuning to optimize accuracy and performance
  • Deploy models into production environments and develop APIs for system integration
  • Automate and manage AI/ML data pipelines and infrastructure (MLOps practices)
  • Support real-time or near-real-time analytics within simulation and test environments
  • Collaborate with cross-functional engineering teams to define requirements and deliver AI-driven solutions
  • Stay current with emerging AI technologies, including Large Language Models (LLMs) and generative AI techniques
  • Support distributed simulation events, including occasional off-hours test activities


Required Qualifications
  • U.S. Citizenship
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related field (equivalent professional experience considered)
  • 2+ years of related experience.
  • Active SECRET security clearance with ability to obtain and maintain TS/SCI
  • Software development experience
  • Strong Python development skills
  • Experience working with large datasets and/or streaming data
  • Proficiency with AI/ML and deep learning frameworks such as PyTorch, TensorFlow, Keras, Hugging Face, or similar
  • Understanding of machine learning concepts and model architectures (e.g., Decision Trees, Random Forests, LSTM/sequence models)
  • Experience implementing, training, evaluating, and optimizing ML models
  • Knowledge of data structures, algorithms, and performance optimization
  • Experience with Git and collaborative development workflows


Preferred Qualifications
  • Experience with Retrieval-Augmented Generation (RAG)
  • Experience with Model Context Protocols (MCP) or similar agent/tool interaction frameworks
  • Experience with GPU acceleration and CUDA architecture (drivers, runtime, APIs)
  • Experience with deep learning and reinforcement learning libraries
  • Experience building or supporting real-time data pipelines
  • Experience with data visualization and exploratory analysis tools (Matplotlib, Seaborn, Plotly, etc.)
  • Familiarity with model deployment, inference optimization, and MLOps practices
  • Experience developing and deploying models in cloud environments (AWS, Azure, or GCP)
  • Software testing experience, including development of test plans, procedures, and reports
  • Experience working in containerized or distributed environments
  • Experience with Linux development environments
  • Experience with Docker and containerized workflows
  • Familiarity with large-scale or streaming data processing frameworks


Schedule:M-F; 8-5

Work Location: Huntsville, AL

Travel: 0-10%

Relocation Assistance Available: No

Position Contingent Upon Award of Contract: No

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Benefits:

Torch Technologies is proud to offer a stable and professional work environment, a competitive salary, and an excellent, comprehensive benefit package including: ESOP participation, 401(k) match and safe-harbor contribution, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, Health Saving Accounts and Health Reimbursement Accounts, EAP, education assistance, paid time off, and holidays.

Applying to Torch Technologies:

Only those candidates invited for an interview will be contacted. Employment at Torch Technologies is contingent upon the successful completion of a comprehensive background check.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, citizenship, ancestry, marital status, protected veteran status, disability status or any other status protected by federal, state, or local law. Torch Technologies, Inc. participates in E-Verify.

If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Careers Link as a result of your disability. You can request reasonable accommodations by sending an email to HR@torchtechnologies.com. Thank you for your interest in Torch Technologies.
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About Us
Torch Technologies, founded in 2002 and headquartered in Huntsville, AL, is a 100% employee-owned business with a retention rate over 90%. Widely recognized for ethics, workplace culture, and performance, Torch has earned repeated honors from Inc. 5000, Great Place to Work, Fortune, BBB, Washington Technology, and Bloomberg Government, as well as multiple industry and regional awards.

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