AWS MLOps Specialist
3 days ago
We are seeking a highly skilled AWS MLOps Specialist to join our team in Minneapolis. As a key member of our technology team, you will play a critical role in developing and deploying machine learning models on Amazon Web Services (AWS), leveraging your expertise in cloud computing and data science.
In this role, you will work closely with our data scientists and engineers to design, develop, and deploy scalable machine learning workflows, utilizing AWS services such as Sagemaker, Docker, and Kubernetes. Your expertise in containerization, orchestration, and automation will enable us to streamline our model deployment processes, ensuring seamless integration with our existing Hadoop cluster and data lake.
We are looking for a highly motivated individual with a strong drive to learn and adapt to the ever-evolving landscape of cloud computing and machine learning. If you have a passion for innovation, a willingness to take on new challenges, and a commitment to excellence, we encourage you to apply for this role.
Key Responsibilities:
- Design and develop scalable machine learning workflows using AWS services
- Deploy and maintain machine learning models using Sagemaker and Docker
- Maintain and optimize cloud infrastructure, including Kubernetes clusters and containerized applications
- Collaborate with cross-functional teams to ensure smooth integration with existing systems and data pipelines
Requirements:
- 3+ years of experience in cloud engineering, with a focus on AWS
- Strong knowledge of Sagemaker, Docker, and Kubernetes
- Proficiency in Python programming language
- Experience with containerization, orchestration, and automation tools
- Excellent communication and collaboration skills
Benefits:
- Competitive salary: $123,000 per year
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
- Comprehensive benefits package, including health insurance and retirement plan
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