• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5-8 years of hands-on experience in deploying and managing machine learning models.
• Proficiency in AWS services, especially Sagemaker, Lambda, EC2, and related tools.
• Strong programming skills in languages such as Python and familiarity with containerization (Docker, Kubernetes).
• Experience with version control systems (Git) and continuous integration/continuous deployment (CI/CD) pipelines.
• Excellent communication skills and the ability to work collaboratively in a team environment.