AI / ML Engineer

• →Design, develop, and maintain machine learning models, from classical algorithms (regression, tree ensembles, clustering) to modern deep learning architectures.
• →Build LLM-enabled applications and retrieval-augmented generation (RAG) pipelines, including vector embedding generation, vector database integration, and prompt/context engineering.
• →Develop AI assurance and evaluation tooling: robustness testing, bias/fairness analysis, model traceability, red-team/adversarial testing, and audit artifact generation.
• →Optimize and deploy models for production and edge environments (quantization, compression, containerized inference, ONNX/TensorRT).
• →Implement secure model and data pipelines, defend against adversarial ML threats, and ensure supply-chain integrity (SBOM) for AI components.
• →Conduct data processing/analysis to improve model accuracy; document and present development processes and assurance evidence to stakeholders.
• →Contribute to Agile, team-based planning and estimating in a fast-paced, collaborative environment.

• Bachelor's degree or equivalent experience in CS/CPE/EE/Data Science (or related field).
• Proven experience in one or more: ML/LLM development, assurance/evaluation tooling, or deploying edge computing solutions.
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Proficiency in Python and at least one additional language (Java, C++).
• Strong understanding of data structures, data modeling, and software architecture.

• Modern AI: LLM frameworks and application development; vector embeddings and vector databases; RAG architectures; prompt/context engineering; LLM fine-tuning; model evaluation and benchmarking.
• Classic ML: Feature engineering, model selection/tuning, statistical analysis, and predictive modeling across structured and unstructured data.
• AI Assurance: Responsible AI practices (robustness, bias/fairness, traceability); adversarial ML defenses; red-team testing; auditability and compliance documentation.
• Edge & Deployment: ONNX/TensorRT, quantization/compression, ARM/NVIDIA Jetson/DSP targets, containerized inference, MLOps in controlled/classified environments.
• Platform & DevSecOps: REST APIs, CI/CD for software and ML systems, SAST/DAST, Infrastructure-as-Code, cloud platforms (AWS, Azure, GCP).
• Domain: Familiarity with computer networking, secure system integration for mission platforms, and test/V&V support (Python/MATLAB analysis).
• Contributions to open-source AI/ML projects; experience deploying AI models in production, classified, or embedded environments.
• Understanding of computer security principles and secure software development lifecycle (SSDLC) practices.

For the past 43 years, DEPLOY's client has provided industry-leading technical and engineering solutions in the fields of Defense, Energy, Space, and Environment. As a small, family-oriented business, DEPLOY"s client provides a compelling benefits package including a generous profit-sharing plan, competitive salaries, and perhaps most importantly, the opportunity to work alongside talented professionals leveraging cutting-edge technologies to solve complex and engaging problems.

DEPLOY"s client is committed to creating a company that is known for its respect and care for employees. We understand that happy employees are what keeps our business going and we strive to provide the best opportunities for each individual working on our team! Here are a few reasons you will love working here:

• Competitive health, dental and vision insurance with affordable premiums
• Flexible work schedules
• Two different flexible spending account options
• Company paid life insurance with options for employee paid additional
• Performance bonus program
• Education reimbursement program
• Company paid personal leave for approved philanthropic activities
• Vacation, Sick & Holiday leave
• Robust 401k profit sharing plan
• Opportunities for internal promotions
• Employee referral incentive program
• Rewards and gifts for service anniversaries

Disability Accommodation for Applicants - DEPLOY's client is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its job application procedures.