AI/ML Engineer I
Tasks
- Build and maintain ML modules such as anomaly detection
- Clean annotate and preprocess datasets for supervised learning
- Develop ML modules deploy support data pipelines and write documentation
- Develop observability dashboards and alerts for ML metrics and feature drift
- Implement and test basic machine learning models
- Own ML lifecycle from prototyping to deployment and monitoring
- Perform exploratory data analysis and document findings
- Pilot ML tools and frameworks and integrate into production
- Run and monitor real time models
- Support model training under guidance and debug ML code
- Translate business goals into ML goals and KPIs
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | CI/CD | Docker | FastAPI | Flask | Git | Huggingface | Jupyter | Kubernetes | MLflow | Pandas | Postman | PyTorch | Python | REST | REST APIs | SQL | Scikit-learn | ServiceNow | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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