ML/DevOps Engineer

Technical Skills:

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.

Education Level: Bachelor’s