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Senior Software Engineer, ML Ops

PathAI

Salary not specified
Apr 15, 2025
Boston, MA, US
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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