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B
MLOps Engineer
Booksy
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Description:
- Fully remote position for an ML Ops Engineer in a fast-scaling cloud infrastructure startup.
- Focus on building scalable, reliable, and efficient ML inference platforms for real-time AI applications.
Requirements:
- 4+ years of experience in ML Ops, Platform Engineering, SRE, or similar roles.
- Hands-on experience with model serving frameworks (vLLM, TGI, Triton).
- Strong background in container orchestration and GPU-based workloads.
- Proficiency in Python and infrastructure-as-code tools (Terraform, Helm).
- Strong understanding of distributed systems and production reliability engineering.
- Ability to work independently in a remote-first environment.
Benefits:
- Ownership of critical infrastructure in a rapidly scaling AI-native cloud platform.
- Opportunity to build foundational ML inference systems in a high-growth startup.
- Gain expertise in next-generation AI infrastructure and large-scale model serving.
Job title
Job type
Experience level
Required experience
4 years
Salary
-
Degree requirement
No degree requiredLocation requirements
Benefits
-
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