Associate Director, MLOps Engineering

About the Company

PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence.

Responsibilities

• Develop and execute the long term vision and roadmap for the MLOps team
• Lead and mentor a team of 6-7+ high-performing engineers
• Partner with leaders across machine learning, data science, product engineering, and infrastructure
• Architect compute and storage pipelines for large-scale ML training and inference
• Modernize the AI Product inference stack to support significant growth
• Collaborate with SRE to establish comprehensive system observability metrics
• Conduct "Build vs. Buy" assessments and technology stack audits

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 2-3+ years of experience managing engineering teams focused on MLOps or ML Infrastructure
• Deep technical expertise with ML workloads on Kubernetes and cloud platforms (AWS/GCP/Azure)
• Experience with workflow orchestration (Airflow, Kubeflow) and Infrastructure-as-Code (Helm, Terraform)
• Proven experience managing petabyte-scale datasets and high-throughput production inference pipelines
• Strong software engineering skills in complex, multi-language systems
• Proficiency using AI assistants like CoPilot, Cursor, or Claude

Preferred Qualifications

• Exposure to ML frameworks like PyTorch or Scikit-learn
• Experience with large-scale data processing frameworks such as Spark, Hive, Databricks, or Amazon EMR
• Expertise in model lifecycle management, feature stores, and CI/CD for ML
• Familiarity with security and compliance best practices in ML systems