| ML Ops Engineer(Machine Learning) || Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Mounika, Anveta Inc [email protected] Reply to: [email protected] Title: ML Ops Engineer Location: Remote Duration: 6-12+ months Job Description: Looking for 8 years of MLOps engineer. We are seeking a skilled MLOps Engineer with expertise in Amazon SageMaker and AWS Glue to join our team. The ideal candidate will play a pivotal role in developing, deploying, and maintaining machine learning models in a production environment. This position requires a deep understanding of machine learning workflows, cloud computing, and DevOps principles. Proven experience working as a DevOps Engineer, Machine Learning Engineer, or related role with a focus on deploying and maintaining machine learning models in production environments. Strong proficiency in Amazon SageMaker, AWS Glue, and other AWS services commonly used in machine learning workflows. Experience with containerization technologies (e.g., Docker, Kubernetes) and container orchestration platforms (e.g., Amazon EKS) is a plus. Familiarity with version control systems (e.g., Git), CI/CD pipelines, and infrastructure-as-code tools (e.g., Terraform, CloudFormation). Solid understanding of software development methodologies, agile practices, and DevOps principles. Excellent problem-solving skills and the ability to work independently as well as part of a team in a fast-paced environment. Strong communication skills with the ability to effectively collaborate with cross-functional teams and stakeholders. Keywords: continuous integration continuous deployment machine learning ML Ops Engineer(Machine Learning) || Remote [email protected] |
| [email protected] View all |
| Fri May 17 00:36:00 UTC 2024 |