Role OverviewThe AI/ML Platform Engineer is responsible for designing, building, and operating shared AI/ML infrastructure, deployment pipelines, model lifecycle tooling, and reusable engineering services that enable data scientists, AI engineers, and business teams to develop and scale AI solutions efficiently.
What You Will Do
Design, build, and operate enterprise AI/ML platform capabilities and shared engineering services, develop and maintain model deployment pipelines, model registry capabilities, experiment tracking, and foundational MLOps tooling.
Why It Might Be a Fit
The ideal candidate combines strong platform engineering expertise, cloud experience, MLOps knowledge, and production operations experience with a passion for building reliable and scalable engineering foundations.
Requirements
- Strong proficiency in Python, SQL, PySpark, and distributed data processing frameworks.
- Experience with Azure Databricks, including Unity Catalog, Delta Lake, MLflow, Feature Store, and Model Serving.
- Experience with Azure, AWS, or comparable cloud platforms supporting enterprise AI and machine learning workloads.
- Experience with model deployment pipelines, model registry management, experiment tracking, monitoring, and lifecycle management.
- Experience with CI/CD, workflow orchestration, and production AI platform operations.
- Experience with model serving, inference optimization, and scalable AI infrastructure.
- Experience with Docker, Kubernetes, Infrastructure as Code, and cloud-native deployment architectures.
- Experience supporting GPU-enabled workloads, distributed compute environments, and enterprise-scale platform operations.
- Experience with event-driven architectures, streaming technologies, and platform integration patterns.
- Experience with observability platforms, performance optimization, reliability engineering, and cloud cost management.
- Strong software engineering, automation, and production support practices.
Benefits
- Dental insurance
- Vision insurance
- Health insurance
- 401(k) or pension plan
- Paid time off
- Flexible work arrangements
- Professional development opportunities
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