PathAI is looking to improve patient outcomes with AI-powered pathology by scaling machine learning infrastructure that powers their enterprise AI systems.
Requirements
- Experience with Kubernetes and cloud computing platforms (AWS preferred)
- Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Datadog)
- Understanding of DevOps principles and infrastructure-as-code (Helm, Terraform)
- Proficiency in Python + exposure to additional languages
- Experience with ML frameworks like PyTorch or Scikit-learn (preferred)
- Experience with data workflow orchestration frameworks (e.g., Airflow, Kubeflow) (preferred)
- Expertise in MLOps principles, including model lifecycle management, feature stores, model monitoring, and CI/CD for ML (preferred)
Responsibilities
- Architect and build infrastructure and automation to support ML application development and deployment
- Drive system design and lead architectural discussions for the MLOps suite
- Lead technical initiatives by researching, evaluating, and implementing new MLOps tools, frameworks, and best practices
- Collaborate with machine learning engineers, data scientists, product engineering, and infrastructure teams
- Optimize ML workflows to ensure models are efficiently and reproducibly deployed & monitored
- Champion engineering excellence by enforcing high coding standards, conducting design reviews, and mentoring junior engineers
- Automate ML operations, including CI/CD for ML models, feature engineering pipelines, and deployment strategies
Other
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience)
- 5+ years of software engineering experience, with a focus on building production-grade frameworks or applications
- Strong software engineering skills in complex, multi-language systems and experience with scalable backend architecture
- Experience owning development platforms and serving internal customers
- Team player, willing to do the work no matter how big or small it may be, and passionate about everything they do
