Need AWS Sagemaker experience

Job Description:

Required :

Bachelor's degree in Computer Science, Data Science, or a related field. A Master's or Ph.D. degree is a plus.

5 years of hands-on experience in ML operations, ML engineering, or related roles.

Experience with AWS or Azure cloud platforms, specifically AWS Sagemaker

Experience with REST API development, AWS Networking Protocols

Solid understanding of infrastructure components and technologies, including containerization (e.g., Docker) and CI/CD pipelines

Strong knowledge of software engineering principles and best practices, including version control, code review, and testing.

Excellent problem-solving skills, with the ability to analyze complex issues and provide innovative solutions in a fast-paced environment.

Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.

Preferred :

Familiarity with load balancing, EKS (Kubernetes), & latest serving ML Model Serving Techniques (ex. NVIDIA Triton).

Familiarity with the Hugging Face Diffusers Library