What are the responsibilities and job description for the Senior MLOps Engineer - Production position at Jobright.ai?
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Job Summary:
Luma AI is on a mission to build multimodal AI to expand human imagination and capabilities. The Senior MLOps Engineer will be responsible for integrating new model architectures, developing user-friendly APIs, and optimizing GPU resource scheduling while maintaining CI/CD pipelines.
Responsibilities:
• Ship new model architectures by integrating them into our inference engine
• Empower our product team to create groundbreaking features by developing user-friendly APIs and interaction patterns
• Build sophisticated scheduling systems to optimally leverage our expensive GPU resources while meeting internal SLOs
• Build and maintain CI/CD pipelines for processing/optimizing model checkpoints, platform components, and SDKs for internal teams to integrate into our products/internal tooling.
Qualifications:
Required:
• Strong generalist Python skills
• Experience with queues, scheduling, traffic-control, fleet management at scale
• Extensive experience with Kubernetes and Docker
• Must have Python
• Kubernetes
• Redis
• S3-compatible Storage
Preferred:
• Pytorch
• CUDA
• Ffmpeg
Company:
Luma AI is a generative AI startup that enables users to transform text descriptions into corresponding 3D models. Founded in 2021, the company is headquartered in Palo Alto, California, USA, with a team of 11-50 employees. The company is currently Growth Stage. Luma AI has a track record of offering H1B sponsorships.
