Senior AI Engineer (Databricks)
Tasks
- Architect AI platforms
- Build scalable backend systems
- Collaborate cross-functional teams
- Create evaluation harnesses
- Deploy AI models
- Design ML pipelines
- Develop LLM fine tuning
- Drive agile improvements
- Evaluate model performance
- Implement logging and telemetry
- Lead software development projects
- Mentor developers
- Perform hyperparameter tuning
- Support incident management
Perks/Benefits
- Cell phone allowance
- Comprehensive health coverage
- Equity compensation
- Growth-focused environment
- Home office setup allowance
- Unlimited paid time off
- Work from anywhere
Skills/Tech-stack
API | Agile | Databricks | Deep learning | Distributed Systems | Embeddings | Feature Engineering | Fine Tuning | GenAI | Hyperparameter Tuning | LLM | Language Processing | Logging | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Open Source | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scrum | Telemetry | TensorFlow | Test automation
Education
N/A
Roles
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