Senior Machine Learning Engineer, Forecasting
Full-time
Apella
Responsibilities
- Collaborate with engineering, product, and data science teams to identify business challenges suited to machine learning and AI solutions.
- Develop tools and automate manual processes to improve operational efficiency, experimentation velocity, and reliability.
- Build, integrate, and monitor end-to-end lifecycles for large-scale distributed machine learning systems.
- Investigate model performance and identify data-quality and system-performance issues.
- Enhance the forecasting ML pipeline, including weekly automated model retraining and deployment across production models.
- Improve team capabilities in MLOps, deployment automation, and production machine learning systems.
- Drive projects from concept through production and maintain and continuously improve their reliability.
Requirements
- At least 5 years of experience building and maintaining production machine learning systems.
- Deep expertise in MLOps, deployment automation, and model-serving infrastructure.
- Strong software engineering skills with proficiency in Python, Docker, Kubernetes, GitHub Actions, ArgoCD, Terraform, and Helm.
- Experience with model-training orchestration, automated retraining pipelines, and A/B testing or variant management using Dagster, Airflow, or similar tools.
- Experience designing scalable microservices, APIs, and complex service dependencies.
- Ability to collaborate with data scientists to productionize research, backend teams on API integration, and product teams on customer needs.
- Experience writing tested, maintainable, and well-documented code.
- Preferred experience in healthcare or other regulated industries, forecasting or time-series algorithms, computer vision, DAG frameworks, or Flink.
Benefits
- Competitive salary and stock options.
- Flexible vacation policy.
- Remote-first work environment with virtual and in-person team events.
- Comprehensive health, dental, and vision insurance.
- 16 weeks of parental leave for all parents.
Vacancy posted 14 hours ago
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