# Forward Deployed Engineer (Machine Learning)

> Zipdev · Mexico (Remote) · Full-time · Posted 2026-05-20

**Workplace:** remote

## Description

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

## Requirements

-   **2-3 years of experience in machine learning** with strong knowledge about not just deep learning but also classical ML (You’re an ML engineer first — someone who can train models, tune them, debug them in the wild, and build the software around them to make them production-ready.).
-   Strong skills in **Linux, Docker, and shipping models** as services.
-   Comfortable working in live production environments with minimal supervision.
-   A **startup mindset** — resourceful, adaptable, and excited to work across ML, backend, and DevOps boundaries.

**Nice to Have**

-   Experience with **GStreamer, FFmpeg, or RTSP** (or similar protocol) video pipelines.
-   Experience with **Triton Server, model optimization using TensorRT** and other deep learning acceleration frameworks.

## Benefits

-   Work remotely Monday - Friday, 40 hours a week (no weekends)
-   Vacation: 10 business days a year
-   Holidays: 5 National Holidays a year
-   Company Holidays: 5 Company Holidays a year (Christmas Eve, Christmas Day, New Year's Eve, New Year's Day, Zipdev Day)
-   Parental Leave
-   Health Care Reimbursement
-   Active Lifestyle Reimbursement
-   Quarterly Home Office Reimbursement
-   Payroll Deduction Purchase Plans
-   Longevity Bonus
-   Continuous Learning Bonus
-   Access to Training and Professional Development Platforms
-   Did we mention it's REMOTE?!!

One of our core values at Zipdev is "Be authentic." that's why we encourage you to answer the application form in your own words; we are interested in getting to know you, not a digital assistant.

Wondering how our remote environment or our payment method work? We've put together some helpful answers in our FAQs at the bottom our our [career site.](https://zipdev.com/careers/%20) Take a look and let us know if you have any other questions!

## Apply

[Apply at Zipdev](https://apply.workable.com/zipdev/j/5B13B1396C/apply)

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