AI Engineer, ML Systems
California - San Francisco, United States
USD 172K-285K Mid-level Full Time
Tasks
- Collaborate with research teams for model production readiness
- Design and maintain model inference and serving systems
- Develop fine-tuning pipelines and workflows
- Ensure system scalability and stability
- Implement model evaluation and deployment processes
- Lead and mentor on ML system design and operations
- Optimize inference for latency and cost
Perks/Benefits
- Collaborate across teams
- Competitive benefits
- Long-term growth opportunities
- Work on AI research-to-production systems
Skills/Tech-stack
AI/ML | AI/ML model serving | Cloud Platforms | Data Pipelines | Debugging | Distributed Systems | Docker | GPU Workloads | Inference Pipelines | Kubernetes | ML Infrastructure | ML Model Serving | Model Deployment | Model Serving | Model versioning | Monitoring | PEFT | Python | Techniques LoRA
Roles
Regions
Countries
States
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