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Senior Software Engineer, ML Ops

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Senior Software Engineer, ML Ops in USA new

  • Boston, MA

Responsibilities

  • Architect and build infrastructure and automation in AWS and on-premises environments for ML application development and deployment.
  • Lead system design and architectural discussions for the MLOps suite while meeting performance, security, and compliance requirements.
  • Research, evaluate, and implement MLOps tools, frameworks, and best practices.
  • Optimize ML workflows for efficient and reproducible model deployment and monitoring.
  • Automate ML operations, including feature engineering pipelines and deployment strategies using Kubernetes, Airflow, and other orchestration tools.
  • Own development platforms serving internal customers and collaborate across ML, data science, product engineering, and infrastructure teams.
  • Enforce coding standards, conduct design reviews, mentor junior engineers, and lead technical initiatives.

Requirements

  • Bachelor’s or master’s degree in Computer Science, Computer Engineering, Software Engineering, or a closely related field.
  • 5+ years of software engineering experience focused on production-grade frameworks or applications.
  • Strong software engineering skills in complex, multi-language systems and scalable backend architecture.
  • Experience with Kubernetes, cloud computing platforms, observability and monitoring tools, DevOps principles, and infrastructure-as-code.
  • Experience owning development platforms and serving internal customers.
  • Proficiency in Python with exposure to additional programming languages.
  • Preferred experience with PyTorch, Scikit-learn, Airflow, Kubeflow, model lifecycle management, feature stores, model monitoring, and CI/CD for ML.
  • Preferred experience with streaming data processing using Kafka, Flink, or Spark Streaming.
  • Familiarity with security and compliance best practices in ML systems.
  • Experience using AI assistants such as CoPilot or Cursor.
  • Strong communication, collaboration, analytical, critical-thinking, influencing, leadership, and organizational skills.

Benefits

  • Hybrid position based in Boston, Massachusetts, with a remote option potentially available for an exceptional candidate.
  • Relocation benefits are not available.

Salary: $128k - $196k/yr

PathAI

PathAI builds AI-powered pathology software and diagnostic services for biopharma, pathology labs, and health systems to support disease detection, clinical trials, and companion diagnostics. Offerings include machine-learning models for digital histopathology and a CLIA-certified lab operation. ...

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