Senior/Staff Software Engineer, ML Ops

PathAI is hiring a Senior/Staff Software Engineer (MLOps) to design, develop, and scale machine learning infrastructure for its enterprise AI systems. The role focuses on reliable ML application development and deployment, MLOps architecture, workflow automation, and collaboration across engineering and data science teams.

Responsibilities:

• You will architect and build infrastructure and automation, in AWS and on-premises, to support ML application development and deployment
• You will drive system design and lead architectural discussions for our MLOps suite, ensuring it meets performance, security, and compliance requirements
• You will lead technical initiatives by researching, evaluating, and implementing new MLOps tools, frameworks, and best practices
• You will collaborate with machine learning engineers, data scientists, product engineering, and infrastructure teams to bridge the gap between research and production
• You will optimize ML workflows, ensuring models are efficiently and reproducibly deployed & monitored
• You will champion engineering excellence by enforcing high coding standards, conducting design reviews, and mentoring junior engineers
• You will automate ML operations, including CI/CD for ML models, feature engineering pipelines, and deployment strategies using Kubernetes, Airflow, and other orchestration tools

Requirements:

• You have a BS or Master's in Computer Science, Computer Engineering, Software Engineering or closely related field
• You have 5+ years of software engineering experience for Senior or 8+ years for Staff, with a focus on building production-grade frameworks or applications
• You have strong software engineering skills in complex, multi-language systems and experience with scalable backend architecture
• You have experience with Kubernetes and cloud computing platforms (AWS preferred)
• You have experience with observability and monitoring tools (e.g., Prometheus, Grafana, Datadog)
• You have a solid understanding of DevOps principles and infrastructure-as-code (Helm, Terraform)
• You have experience owning development platforms and serving internal customers
• You have a solid level of proficiency in Python + exposure to additional languages
• You have experience with ML frameworks like PyTorch or Scikit-learn
• You have experience with data workflow orchestration frameworks (e.g., Airflow, Kubeflow)
• You have expertise in MLOps principles, including model lifecycle management, feature stores, model monitoring, and CI/CD for ML
• You have experience with streaming data processing (Kafka, Flink, or Spark Streaming)
• You have a solid level of familiarity with security and compliance best practices in ML systems
• You have experience using AI assistants (e.g. CoPilot, Cursor) in development
• You have outstanding interpersonal, verbal, and written communication and influencing skills: have built and cultivated important relationships both inside and outside of the organization and externally; have proven abilities to influence internal partners and stakeholders, thought leaders, national advocacy  organizations, national standard-setting bodies, and other relevant external parties
• You have strong analytical and critical thinking skills with attention to detail; you have the ability to manage multiple projects and drive results in a fast-paced environment; you have a collaborative mindset with demonstrated leadership capabilities