ML Engineer

Zachary Piper Solutions is looking for talented and driven AI Software Engineers with active TS/SCI clearance to become part of an innovative Federal AI Engineering Team focused on GenAI and public sector initiatives. In this position, you'll play a key role in delivering cutting-edge, AI-enabled mission solutions for government clients. Your work will involve building and optimizing scalable, high-performance platforms capable of processing billions of data points, while contributing to backend development, distributed system design, and machine learning infrastructure within secure environments. Hybrid Remote (50%): Washington, DC; San Francisco, CA; St. Louis, MO; Honolulu, Hawaii

Responsibilities:

• Design and implement scalable backend systems using cloud-native AI infrastructure for federal mission needs
• Develop distributed architectures and machine learning infrastructure to support secure, data-intensive applications
• Collaborate with cross-functional teams and government stakeholders to define backend solutions and deliver impactful AI capabilities
• Build robust backend platforms that enable standalone AI products and accelerate customer innovation
• Engage directly with federal customers to gather requirements and deliver tailored, high-performance solutions
• Contribute to product strategy and roadmap for Scale AI’s federal offerings, shaping future mission-driven technologies

Qualifications:

• Active TS/SCI clearance required; TS/SCI with Full Scope Polygraph (FSP) is a plus
• Proficient in Python with strong software development skills
• Hands-on experience with major cloud platforms such as AWS, Azure, or Google Cloud
• Solid understanding of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes)
• Expertise in data engineering, including ETL processes and building robust data pipelines to integrate and process diverse datasets
• Familiarity with data modeling, data warehousing concepts, and data governance best practices
• Experience working with machine learning frameworks like TensorFlow or PyTorch, and designing scalable ML infrastructure
• Knowledge of model deployment, serving, and monitoring strategies is highly desirable

Compensation & Benefits:

• $170,000 - $280,000 (Based on years of relevant experience)
• Comprehensive benefits package including medical, dental, vision, 401k, 20 paid time off, 11 federal holidays, and sick leave.

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