Senior Machine Learning Engineer, Forecasting
Core
Build, integrate, and monitor end-to-end lifecycles for large-scale distributed machine learning systems, specifically enhancing forecasting pipelines with automated retraining and deployment.
Role type
Senior Machine Learning Engineer (Forecasting & MLOps)
Builds
Production forecasting models and automated ML pipelines
Domain
Technology / Machine Learning Operations
Deliverable
production ML models
Required skills
Python, Docker, Kubernetes, GitHub Actions, ArgoCD, Terraform, Helm, model-training orchestration, automated retraining pipelines, A/B testing, variant management, scalable microservices design, API design
Preferred skills
Time-series algorithms, DAG frameworks, Flink, healthcare domain experience
Technologies
Dagster, Airflow, Flink
Responsibilities
Develop tools to automate manual processes and improve operational efficiency; Investigate model performance and identify data-quality and system-performance issues; Drive projects from concept through production and maintain their reliability; Collaborate with engineering, product, and data science teams to identify business challenges suited to ML solutions; Improve team capabilities in MLOps and deployment automation.
