Forward Deployed Engineer (Machine Learning)
Remote · Mexico or Colombia
Job Summary
Forward Deployed ML Engineer responsible for shipping real-time vision models into production at client sites, debugging production pipelines, building ML features across classical ML, CV, and LLMs, and collaborating with surveillance teams on-premise. Requires training and deploying deep learning models with low-latency inference pipelines using PyTorch, ONNX, and TensorRT, plus building data-processing pipelines and coordinating with labeling teams. Must be comfortable operating in live production environments, possess Linux and Docker proficiency, and thrive in a startup-minded, cross-domain role across ML, backend, and DevOps. Remote work is supported for listed countries (MX, BR, CO).
Required Qualifications
- 2-3 years of experience in machine learning with strong knowledge about not just deep learning but also classical ML
- Strong skills in Linux, Docker
- Comfortable working in live production environments with minimal supervision
- Startup mindset — resourceful, adaptable, and excited to work across ML, backend, and DevOps boundaries
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