Senior Machine Learning Engineer, Forecasting
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Job Description
Senior ML Engineer building MLOps and forecasting infrastructure for Apella’s surgical-care technology. Automating retraining, deployment, monitoring, and scalable production ML systems.
Responsibilities:
- Collaborate with engineering, product, and data science teams to understand business challenges and potential machine learning and AI solutions
- Develop tools and automate manual processes to improve operational efficiency, accelerate experimentation velocity, and minimize human error
- Build, integrate, and monitor end-to-end lifecycles of large-scale, distributed machine learning systems
- Investigate model performance and identify data quality and performance issues
- Enhance the ML pipeline for the forecasting platform
- Manage weekly automated model retraining and deployment across production models
- Elevate the team's technical capabilities in MLOps best practices, automation, and production ML systems
- Participate in recruiter, hiring manager, and virtual onsite interviews as part of the interview process
Requirements:
- 5+ years of experience building and maintaining production ML systems
- Deep expertise in MLOps, deployment automation, and model serving infrastructure
- Proficiency in Python
- Experience with Docker and Kubernetes
- Experience with CI/CD systems, including GitHub Actions and ArgoCD
- Experience with infrastructure-as-code, including Terraform and Helm
- Production ML deployment experience
- Experience with model training orchestration such as Dagster, Airflow, or similar
- Experience with automated retraining pipelines
- Experience with A/B testing and variant management
- Systems design expertise
- Experience building scalable microservices
- API design experience
- Experience managing complex service dependencies
- Track record of driving projects from concept to production, maintaining them over time, and continuously improving system reliability
- Experience collaborating with data scientists, backend teams, and product teams
- Ability to write tested, maintainable, well-documented code
- Experience working in healthcare or other regulated industries (nice to have)
- Experience with Forecasting / Time Series algorithms (nice to have)
- Experience with Computer Vision (nice to have)
- Experience with DAG frameworks and Flink (nice to have)
Benefits:
- Competitive salary
- Stock options
- Flexible vacation policy
- Remote-first work environment
- Virtual and in-person events to foster team connection
- Comprehensive health insurance
- Dental insurance
- Vision insurance
- 16 weeks of parental leave for all parents
- Benefits and growth opportunities
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