Top Secret Machine Learning Engineer

Zachary Piper Solutions is seeking a Machine Learning Engineer to join a Federal Program working in Washington, DC . The Machine Learning Engineer will be part of a team that designs, builds, and deploys cutting-edge AI models—including generative AI, computer vision, reinforcement learning, and agentic systems—into mission-critical environments for federal agencies.

Responsibilities of the Machine Learning Engineer include:

· Apply state-of-the-art models from internal research and the broader ML community to solve real-world problems in production environments.

· Improve and maintain deployed models through retraining, hyperparameter tuning, and architectural updates while preserving performance.

· Collaborate with product and research teams to prototype ML-driven enhancements for current and future product lines.

· Work with massive datasets to develop general-purpose models and fine-tune them for specific government applications.

· Build scalable ML infrastructure to automate and optimize model training, deployment, and monitoring.

· Serve as a cross-functional advocate for machine learning across engineering and product teams.

· Support the development of agentic LLM systems and computer vision models for defense and intelligence use cases.

Qualifications for the Machine Learning Engineer include:

· Bachelor's degree in relevant field

· Extensive experience in computer vision, deep learning, reinforcement learning, or natural language processing in production environments.

· Strong foundation in algorithms, data structures, and object-oriented programming.

· Proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch.

· Familiarity with cloud platforms (e.g., AWS, GCP) and deploying ML models in cloud-native environments.

· Experience with agentic systems, generative AI, large language models, and ML evaluation frameworks.

· Excellent problem-solving and analytical skills with the ability to manage multiple priorities in a fast-paced setting.

· Strong communication skills and ability to collaborate across technical and non-technical teams.

· Must have an Active U.S. Top Secret security clearance.

Compensation for the Machine Learning Engineer includes:

· Salary Range: $160,000 - $240,000 depending on experience

· Comprehensive Benefits: Cigna Medical, Dental, Vision, 401K, PTO, Sick Leave if required by law, and Holidays

Keywords

Machine Learning, Deep Learning, Computer Vision, Generative AI, Reinforcement Learning, Agentic Systems, Large Language Models, LLMs, AI Infrastructure, Model Deployment, Model Evaluation, Hyperparameter Tuning, Fine-Tuning, Python, TensorFlow, PyTorch, AWS, GCP, Cloud-Native, Scalable Systems, NLP, Object-Oriented Programming, Algorithms, Data Structures, ML Pipelines, ML Infrastructure, Secure Environments, TS/SCI Clearance, Federal Programs, Government AI, Defense Applications, Intelligence Systems, Retrieval-Augmented Generation, Agent Frameworks, ML Monitoring, ML Automation, Multi-Modal Models, Vision Foundation Models, ML Research, ML Prototyping, ML Optimization, Mission-Critical Systems, Public Sector AI, Security Clearance, AI Product Development, Cross-Functional Collaboration, Fast-Paced Environment, Technical Communication, ML Benchmarking, ML Evaluation Tools, ML Services, ML Strategy, ML Innovation, ML Engineering, ML Systems Design

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