Full TimeML Ops Engineer

Architect and implement efficient ML Inference pipelines for large language models.

Responsibilities:

• Design and implement high-performance inference pipelines
• Optimize model serving for throughput, latency, and cost across different workloads
• Collaborate with research and product teams to integrate inference into real-world applications
• Help enhance and manage the deployment pipeline and monitor production clusters
• Debug production inference issues
• Stay up-to-date with the latest in inference tech and open-source frameworks

Qualifications:

• Deep experience developing and tuning LLM inference frameworks (e.g. vLLM)
• Solid communication skills; ability to work independently and within a team
• Experience with cloud infrastructure (AWS, GCP, Azure) and Kubernetes
• Passion for AI and practical ML systems
• Experience building, deploying and operating highly available, scalable, distributed cloud services.