| Job Opportunity - Data Scientist AL/ML with AWS sage maker - Reston, VA (Once in a Month) at Reston, Virginia, USA |
| Email: [email protected] |
| Hi Hope you are doing well I am Sai Chandu from Sage IT INC, one of my clients is Looking for Data Scientist AL/ML with AWS sage maker Please let me know if you would like to move forward with the below position. Position : Data Scientist AL/ML with AWS sage maker Location : Reston, VA (Once in a Month) Experience : 10 + Years Job Description: As an MLOps Implementation Engineer, your primary responsibility will be to understand and implement our pre-developed MLOps strategies across various tools, including Domino Data Lab and AWS SageMaker. You will play a crucial role in containerizing these models and developing automated processes to deploy them into AWS Batch, Amazon Elastic Container Registry (ECR), or Amazon Elastic Kubernetes Service (EKS). Additional info : Key Responsibilities: - Interact with Analytics teams to gather requirements for Python and R container images. - Resolve dependencies for the required Python and R packages. - Identify and address any security vulnerabilities in the container images. - Develop and maintain custom container images to ensure compatibility with SageMaker and Domino Data Lab. - Test and validate container images to ensure they meet performance and reliability standards. - Collaborate with cross-functional teams to ensure seamless integration and deployment of custom images. - Document processes and provide training as needed to ensure team members can effectively use and manage the custom containers. Requirements: - Bachelors or masters degree in computer science, Engineering, or a related field. - Proven experience in managing and developing custom containers, especially with Python and R. - Strong expertise with Amazon SageMaker and its various components. - Experience with containerization technologies such as Docker. - Knowledge of dependency management and package resolution for Python and R. - Understanding of security best practices and vulnerability mitigation for container images. - Familiarity with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI/CD). - Strong programming skills in Python and/or R. - Excellent problem-solving skills and attention to detail. - Strong communication and collaboration skills. Preferred Qualifications: - Experience with AWS Cloud and its services like S3, ECR, EKS etc. Knowledge of infrastructure as code (IaC) using tools like Terraform or AWS CloudFormation. Understanding of machine learning model lifecycle management. Best Regards Sai Chandu US IT Recruiter E-mail: [email protected] Office: 972-996-0650 - Ext : 527 LinkedIn : www.linkedin.com/in/sai-chandu1884-3b47791b5 Website: www.sageitinc.in -- Keywords: continuous integration continuous deployment machine learning access management sthree rlang information technology Alabama Virginia Job Opportunity - Data Scientist AL/ML with AWS sage maker - Reston, VA (Once in a Month) [email protected] |
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| Tue Oct 29 23:22:00 UTC 2024 |