Machine Learning Ops Engineer

Qualifications:

• Bachelor's in Computer Science, Software Engineering, Data Engineering, or related field – equivalent industry experience also welcome
• 3-6+ years of experience in MLOps, software, platform, or backend engineering (relevant depth matters more than exact years)
• Strong proficiency in Python and comfort building, shipping, and operating services
• Experience building LLM-powered applications—working with LLM APIs or self-hosted models, prompts, and tool/function calling
• Hands-on experience with Kubernetes and containerized deployment
• Solid understanding of CI/CD, infrastructure-as-code, and production service reliability
• Awareness of access control and data-boundary concerns when connecting tools to sensitive internal systems
• Demonstrated ability to learn quickly and work across unfamiliar parts of the stack
• Depth in at least one core area—LLM application development, RAG/retrieval, agent design, or AI infrastructure—with genuine interest in growing into the others
• Preferred:
• Hands-on experience with RAG systems, embeddings, and vector databases (pgvector, Qdrant, Weaviate, Milvus, or similar)
• Experience designing and shipping agentic workflows, including tool use, orchestration, and guardrails
• Familiarity with the Model Context Protocol (MCP) or similar tool-integration frameworks for LLMs
• Experience integrating LLM tools with enterprise systems (productivity suites, business systems, or developer platforms) via their APIs
• Knowledge of LLM evaluation, prompt engineering, and quality/regression measurement
• Experience serving models and optimizing inference (vLLM, TGI, Triton, or similar)
• Familiarity with agent/orchestration libraries (LangChain, LlamaIndex, or equivalent)
• Experience with Ansible for configuration management and automation
• Experience implementing identity, authentication, and fine-grained authorization (OAuth, SSO, RBAC)
• Observability experience for AI/ML workloads, including usage and quality metrics
• GPU infrastructure and scheduling experience for training or inference
• Understanding of security and data-handling requirements in regulated or defense environments
• Ability to obtain or maintain a security clearance
• What's in it for you:
• Benefits:
• Competitive total compensation package
• Comprehensive benefit package options include medical, dental, vision, life, and more.
• 401k with company-match
• 3 weeks of paid time off each year
• 40 hours of sick time
• 12 annual company holidays
• Why Join Zone 5 Technologies?
• Innovative Environment: Work on cutting-edge technology that is shaping the future of defense and aerospace.
• Collaborative Culture: Join a team of passionate professionals dedicated to pushing the boundaries of what’s possible.
• Career Growth: Opportunities for professional development and career advancement.
• If you are passionate about unmanned aircraft technology and want to be a part of a dynamic and growing company, we would love to hear from you. Apply today and join the Zone 5 Technologies team!
• In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
• Zone 5 Technologies is a federal contractor and participates in E-Verify to confirm employment eligibility. As required by law, we will verify the identity and employment authorization of all new employees using the E-Verify system. Learn more about your rights and responsibilities under E-Verify: https://www.e-verify.gov.