ML Ops Engineer

About Lvt

LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions—from our physical units in the field to a powerful Agentic AI platform that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations.

This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it.

LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions—from our physical units in the field to a powerful Agentic AI platform that allows our customers to gain unprecedented visibility and control over safety, compliance and operations.

This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it. We’re a team that’s focused on growth and innovation, and we’re proud that our crew, products, and leadership are being recognized for it.

• A Top-Tier Growth Company:
  Named one of the Financial Times’ Fastest Growing Companies 2025 and #10 on the Inc. 5000 Rocky Mountain Regional list for 2025.
• Innovative Leadership:
  Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024.
• Product & Software Excellence:
  We were named one of The Software Report’s Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025.

We are seeking a Staff ML Ops Engineer to own the model lifecycle as infrastructure that turns the path from research to production into standardized self‑serve tooling. The model portfolio this platform serves spans both the computer‑vision models in production today and a growing set of LLM, VLM, and agentic workloads. Bringing those generative workloads under the same lifecycle discipline: serving, version‑pinning, evaluation, guardrails, and cost and latency monitoring is a part of this role's scope.

This is a senior individual‑contributor and technical‑leadership role. You will partner closely with AI/ML research, the application backend team, and platform and infrastructure teams. You should be equally comfortable discussing model‑serving architectures, CI/CD and rollback design, polyglot service contracts, and production observability.

• MLOps:
  Own the model lifecycle end to end: standardized packaging, a model CI/CD path, a serving layer with stable, versioned contracts, automated deployment and rollback, and monitoring and drift detection.
• LLMOps:
  Bring LLM, VLM, and agentic workloads under the same platform discipline as the vision models serving with models and prompts version‑pinned as deployable, rollback‑able artifacts; generative evaluation and regression suites that don't reduce to precision/recall; production guardrails such as input/output filtering and jailbreak and refusal monitoring; and token‑level cost and latency…