Location: Bowling Green, Kentucky, us
Job Summary:
Job Duties and Scopes:
- Improve coding delivery speed and streamline ML processes.
- Identify bottlenecks and create automation for model code deployment.
- Set up environments and monitor metrics and incidents.
- Collaborate with Data Scientists and Engineers to enhance ML pipeline coding.
- Develop models aligned with business objectives.
Required Skills:
- Coding and scripting (Bash, Shell); large-scale cloud architecture experience.
- Deployment of ML pipelines using Azure ML and Data Bricks.
- Familiarity with containerization (Docker, Kubernetes) and CI tools (Jenkins, Git).
- Strong understanding of Agile methodologies.
Required Experiences:
- Bachelor’s degree in computer science, data science, or related field.
- Master’s degree preferred.
- At least four years of experience as a machine learning engineer.
Job URLs: