Offer summary
Qualifications:
At least 5 years of ML experience, Experience with SageMaker and frameworks like TensorFlow or PyTorch, Hands-on data engineering skills in Python, SQL, PySpark, Knowledge of AWS services and CI/CD tools, Experience with Infrastructure as Code tools.
Key responsabilities:
- Build and deploy ML models using SageMaker
- Integrate ML models into applications and workflows
- Monitor and automate model performance improvement
- Handle data integration, cleansing, and visualization tasks
- Recommend infrastructure design and optimization