AI/ML Engineer I
Tasks
- Build observability dashboards and alerts
- Collaborate across product infrastructure legal and UX
- Create and document Jupyter notebook experiments
- Define ML goals using KPIs
- Deploy models using Flask or FastAPI
- Develop and maintain ML modules
- Ensure responsible ML governance and compliance
- Monitor models using metrics and feature drift
- Own ML lifecycle from prototyping to deployment
- Perform exploratory data analysis
- Prototype new ML tools and integrate into production
- Run models in real time
- Support data pipelines and data preparation
- Train and debug ML models
- Write unit tested ML scripts
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Anomaly Detection | CI/CD | Data API | Docker | FastAPI | Flask | Git | Huggingface | Jupyter | Kubernetes | MLflow | Pandas | Postman | PyTorch | Python | REST | REST APIs | SQL | Scikit-learn | ServiceNow | TensorFlow
Education
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