AI Engineer - Enterprise (Remote, USA - San Mateo, CA)
A USD 150K-200K (estimate) Senior-level Full Time
Tasks
- Address security and compliance requirements
- Build production-grade AI pipelines
- Conduct load testing and evaluations
- Deploy production machine learning systems
- Design end-to-end AI solutions
- Design scalable inference architectures
- Develop model evaluation frameworks
- Gather customer feedback and drive product roadmap
- Implement fine-tuning workflows
- Lead AI discovery sessions
- Optimize reliability latency scalability and performance
- Present technical recommendations to leadership
- Recommend model selection strategies
- Run model evaluation and benchmarking
- Scope proof of concept and pilot programs
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Benchmarking | Containerization | Direct Preference Optimization | Distributed Systems | Fine Tuning | GCP | GPUs | Kubernetes | Language Models | Large Language Models | Load Testing | Machine Learning | Model Evaluation | Model Inference | Model Serving | Open Model | Open Model Inference | Preference optimization | Python | RAG | Reinforcement Fine Tuning | Retrieval-Augmented Generation | Supervised Fine Tuning
Education
N/A
Roles
AI | AI Engineer | Architect | Engineer | Learning Engineer | Machine Learning Engineer | Solutions Architect
Regions
Countries
States
Cities
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