Job Openings
ML Engineer
About the job ML Engineer
- Model maintenance, automation of ML training pipelines, and end-to-end model lifecycle management.
- Design, build, and maintain robust machine learning models into AzureML.
- Develop reusable components for model training, evaluation, and deployment.
- Monitor model performance in production and implement automated retraining workflows.
- Optimize models for accuracy, latency, scalability, and cost efficiency.
- Collaborate with data scientists to productionize experimental models using best engineering practices.
- Strong programming skills in Python and familiarity with ML frameworks (lightBoost, sklearn).
- Solid understanding of model evaluation, drift detection, and monitoring techniques.
- Experience in building and maintaining CI/CD pipelines for ML (e.g., MLflow, Kubeflow, Airflow, SageMaker Pipelines) on Azure.
- Hands-on experience with model serving using APIs or microservices (Docker, Kubernetes).