Machine Learning Infrastructure Engineer
Job Summary
Leading the technical vision for machine learning initiatives, the full-time hybrid Machine Learning Infrastructure Engineer will architect scalable infrastructure, design next-generation ML platforms, and drive automation and standardization across ML systems.
Key responsibilities
- Architect end-to-end ML infrastructure for data processing, feature management, and model serving
- Design and implement next-generation ML platforms that support diverse workloads
- Establish best practices for ML observability, monitoring, and operational excellence
Required qualifications
- 10+ years of software engineering experience, with 5+ years in ML infrastructure
- Deep expertise in distributed systems and large-scale data processing
- Strong background in ML platform development and MLOps practices
- Proven track record of leading complex technical initiatives
- Expert-level knowledge in ML serving platforms and container orchestration
Complete Job Description
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