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- 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.
- Familiarity with load balancing, EKS (Kubernetes), & latest serving ML Model Serving Techniques (ex. NVIDIA Triton).
- Familiarity with the Hugging Face Diffusers Library
AI/ML Engineer - Beaverton, United States - Siri InfoSolutions Inc
Description
Job Description
Job DescriptionTitle: Sr. AI/ML EngineerLocation: Beaverton OR (Day 1 onsite)
Durattion: Long-term ContractJob Description:
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