Director of Applied AI
Tasks
- Architect edge inference distributed processing privacy preserving AI
- Build evaluation methodologies benchmarks validation frameworks
- Collaborate with infrastructure platform and product teams
- Design develop deploy applied AI systems
- Identify emerging AI research trends
- Lead training fine tuning optimizing evaluating large language models
- Mentor applied AI team and drive innovation
- Oversee execution across parallel AI projects
- Present technical concepts to leaders customers and stakeholders
- Translate customer mission needs into technical requirements
Perks/Benefits
- 401k match
- Continuing education support
- Health and dental and vision benefits
- Health and wellness stipend
Skills/Tech-stack
Applied Machine Learning | Benchmarking | Compliance | Data Governance | Data Pipelines | Distributed Systems | Edge Computing | Generative AI | Inference architecture | JAX | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Multimodal Models | Privacy-preserving | Privacy-preserving machine learning | PyTorch | Python | Real Time | Real-time Processing | Security | TensorFlow | Time processing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineering | AI Engineering Manager | Director | Director of Applied AI | Engineering Manager | Manager
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