ML/DevOps Engineer

Job title:- ML/DevOps Engineer

Remote

Active public trust
Contract

Technical Skills:

• ML.NET - 6 Years
• ML Model Architecture - 6 Years
• DevOps - 6 Years

Role Description:

• The ML Engineer will solve unique infrastructure and modeling problems using a blend of machine learning and DevOps expertise.
• They will work alongside the data science team to support the production of ML capabilities and features, helping turn point cloud/CV models into reliable, scalable services within a complex, event-driven architecture. They will bring deep expertise in deploying and scaling services across cloud environments, with strength in container orchestration, Infrastructure as Code, and observability for distributed pipelines.
• Working knowledge of ML operational concerns, model versioning, experiment tracking, and inference optimization (GPU/CPU tradeoffs, ONNX-style runtimes) is required to effectively support and produce ML-driven features.