AI​/ML Engineer

Artificial Intelligence/Machine Learning Engineer I

Reflexive Concepts is seeking a skilled Artificial Intelligence/Machine Learning Engineer I to join our team.

The ideal candidate will have hands‑on experience with state‑of‑the‑art machine learning techniques, specifically for natural language processing (NLP), and will also have a strong understanding of full‑stack development. This person will work across the model development lifecycle and collaborate with cross‑functional teams to deliver high‑impact solutions.

• 2+ years of experience in applied machine learning in programs and contracts of similar scope, type, and complexity.
• B.S. degree in advanced math (e.g., calculus, linear algebra, or Bayesian statistics), computer science, or related STEM discipline from an accredited college or university.
• 3 years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelor’s degree.

• Knowledge and experience of language models is required.
• Specific experience with Marian and multi‑lingual model development.
• Knowledge of computational linguistics is a plus.
• Experience with open‑source model libraries, deep learning containers (DLC), GPU technologies, and optimization/tuning.
• Strong Java, C, and C++ programming experience.
• Willingness to support occasional on‑call duties is a plus.
• Model Development & Training
  • Build, train, and fine‑tune machine learning models, particularly language models.
  • Apply best practices in model training, tuning, and optimization.
  • Design and implement solutions for model performance improvement.
• Evaluation & Testing
  • Conduct rigorous model evaluation, including performance analysis and benchmarking.
  • Perform error analysis, debugging, and model diagnostics to ensure quality and reliability.
• Model Deployment & Integration
  • Work with cloud‑based AI platforms (especially AWS Sage Maker) to deploy and scale models.
  • Integrate machine learning models into production environments, ensuring seamless integration with other systems.
• Full‑Stack Engineering
  • Contribute to the development and maintenance of the full stack for AI model‑based applications (front‑end and back‑end).
  • Collaborate with software engineers to build scalable and efficient deployment pipelines.
• Collaboration & Reporting
  • Work closely with data scientists, product teams, and engineers to translate business requirements into technical solutions.
  • Document workflows, model design processes, and technical specifications.

• Strong proficiency in AI/ML frameworks such as Tensor Flow, PyTorch, or Hugging Face.
• Expertise in model training, evaluation, and deployment.
• Hands‑on experience with AWS tools like Sage Maker, Lambda, EC2, and S3.
• Experience in developing full‑stack software applications (JavaScript, Python, Java, etc.).
• Solid understanding of data structures, algorithms, and system design.
• Experience & Background
  • Extensive experience in machine learning model development, including natural language processing (NLP).
  • Experience with model evaluation, optimization, and performance monitoring.
  • Proven experience in software engineering with strong coding skills.
  • Experience working in a government or defense‑related environment is highly preferred.
• Additional Skills
  • Experience with model versioning and management using tools such as MLFlow or Git.
  • Familiarity with containerization tools (i.e. Kubernetes).
  • Strong problem‑solving and analytical skills.
  • Excellent communication and collaboration abilities.

• Experience with secure data handling and compliance requirements.
• Experience working with Large Language Models (LLMs).