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Our client is building vision agents for large venues such as hotels and casinos— powering real-time video analytics and intelligent surveillance across hundreds of camera streams. Our systems run on-prem in some of the largest resorts in Las Vegas, and many more in the pipeline.
They’re a highly technical team shipping deep tech into one of the most operationally demanding and dynamic environments.

The Role
We’re looking for a Forward Deployed ML Engineer who blends strong technical ML/CV ability with comfort deploying systems in the field.
You will own our real-time vision pipelines end-to-end and be the technical face of the client's inside casinos.
This role is not a back-office research job.

You will:

• Ship models into production
• Debug production pipelines at client sites
• Build new ML features ranging from classical ML, computer vision and LLMs
• Work hands-on with GPU servers & multi-camera systems
• Collaborate with customer surveillance teams and distribution partners

If you love solving real-world problems in messy environments, this is your role.

What You’ll Do

• Train, tune, and update/deploy deep learning models at client sites
• Maintain low-latency inference pipelines on-premise using PyTorch, ONNX, and TensorRT and Triton.
• Build training data processing pipelines, QA/QC labeling and coordinate work with our labelling teams
• Work closely with customers and with the product manager to experiment and ship new features