Senior Machine Learning Infrastructure Engineer

Role: Senior Machine Learning Infrastructure Engineer Job Type: Contract Job Location: Remote Experience: 6+ years Email: recruiter@Job Description: Roles & Responsibilities:Introducing and customizing automation into data extraction and labeling pipelines. Design and improve metrics pipelines and create monitoring dashboards to track performance of perception systems in production. Build and maintain infrastructure and ETL pipelines for training, validating, and deploying ML models. Build and maintain infrastructure for interfacing with third party labeling companies. Ensure reproducibility, traceability, and observability of Perception workflows.Required Skills and Abilities:5+ years' experience in Modern C++ software design and development. Experience with large multimodal datasets and their curation. Self-starter - experience developing a solution end-to-end starting from vague requirements in a cross team collaborative environment. Experience with ML ML model deployment in production grade C++ software stacks Good communication skills and a collaborative mindset. Experience with ETL, or other cloud related experience (e.g. MLFlow, Argo workflow, dashboards)Desirable Skills:Robotics and/or autonomous driving platform experience Implementation of end- to- end test and metrics workflows and dashboards Implementation of analytics and insight tools for AD datasets Familiarity with containerization (Docker) and orchestration (Kubernetes). Familiarity with cloud platforms like AWS, GCP, or Azure. Hands-on experience with ML platforms (e.g., MLflow, SageMaker, Valohai, or equivalent). Experience in building 3D Visualization tools for LiDAR point cloud data

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