Full-Time Staff Machine Learning Engineer

Role Description We are looking for a Staff Machine Learning Engineer to join the AI Platform team at SailPoint. The team builds and operates the core infrastructure that we use to deploy and monitor our ML solutions across our products.

Responsibilities

• Enable scalable model development, deployment, monitoring, and governance
• Support both traditional ML and cutting-edge GenAI use cases
• Bridge data science and engineering, providing robust tools, services, and best practices

Qualifications

• 5 to 8 years of experience
• Demonstrated experience building and managing production-grade ML systems on cloud platforms (preferably AWS)
• Strong understanding of the ML lifecycle, including development, data/feature engineering, versioning, monitoring, and debugging in production environments
• Excellent communication skills, with the ability to clearly convey complex technical concepts to both technical and non-technical audiences
• Working knowledge of common ML algorithms and technologies
• A bias for action and ability to navigate ambiguity

Requirements

• Core Programming Languages: Python, Go, Java
• Cloud Platform: AWS (SageMaker, Bedrock) preferred
• GenAI Frameworks/Tools: Any
• Data: Snowflake, Kafka, Airflow
• CI/CD frameworks: Jenkins or Cloudbees
• Observability frameworks: Prometheus / Grafana

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