Lead AI Engineer
Tasks
- Architect and scale ML systems
- Build and deploy ML models
- Containerize ML workflows
- Design data pipelines for inference
- Establish monitoring and optimization for models
- Implement CI/CD best practices
- Integrate external AI APIs
- Lead AI initiatives from architecture to delivery
- Mentor and guide engineers
- Model and optimize relational data for ML
- Perform data wrangling and preprocessing
- Serve AI models via APIs
Perks/Benefits
Skills/Tech-stack
AWS | Alembic | Azure | CI/CD | Cloud platform | Data Pipelines | DigitalOcean | Django | Docker | Embeddings | FastAPI | Flask | GCP | Git | Google Cloud | Google Cloud Platform | Keras | LLM | Llama | Model Monitoring | NumPy | PEP-8 | Pandas | PyTorch | Python | SQL | SQLAlchemy | SciPy | Semantic Search | Semantic Versioning | Stable Diffusion | TensorFlow
Education
N/A
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer
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