Senior Machine Learning Engineer, Forecasting

Requisitos

• 5+ years of experience building and maintaining production ML systems, with deep expertise in MLOps, deployment automation, and model ser..
• Proficiency in Python, containerization (Docker/Kubernetes), CI/CD systems (GitHub Actions, ArgoCD), and infrastructure-as-code (Terrafor..
• Production ML deployment experience including model training orchestration (Dagster, Airflow, or similar), automated retraining pipelines..
• Systems design expertise with scalable microservices, API design, and managing complex service dependencies
• Ownership mentality with a track record of driving projects from concept to production and continuously improving system reliability

Desejáveis

• Experience working in healthcare or other regulated industries
• Experience with Forecasting / Time Series algorithms
• Experience with Computer Vision
• Experience with DAG frameworks, Flink