| MLOps Engineer || Ann Arbor- MI-Hybrid at Ann Arbor, Michigan, USA |
| Email: [email protected] |
| From: Kaveri, Tek Pyramids [email protected] Reply to: [email protected] No H1b/CPT Role: MLOps Engineer Location: Ann Arbor, MI(Hybrid) Duration: 6+ months Interview: Video Locals only!!! The successful candidate will be an expert in Azure ML, Azure DevOps, Azure Container Apps, and familiar with automation tools like Jenkins, with a strong background in containerized software deployments and CI/CD pipelines. **Qualifications: ** Bachelor's degree or higher in computer science, engineering, mathematics, or related field. Strong programming skills in languages such as Python, Java, or Scala. Proven experience as an MLOps Engineer, specifically with Azure ML and related Azure technologies. Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes. Proficiency in automation tools like JIRA, Ansible, Jenkins, Docker compose, Artifactory, etc. Knowledge of DevOps practices and tools for continuous integration, continuous deployment (CI/CD), and infrastructure as code (IaC). Experience with version control systems such as Git and collaboration tools like GitLab or GitHub. Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. Strong communication skills and ability to effectively communicate technical concepts to non-technical stakeholders. Certification in cloud computing (e.g., AWS Certified Machine Learning Specialty, Google Professional Machine Learning Engineer)- not mandatory Knowledge of software engineering best practices such as test-driven development (TDD) and code reviews. Experience with Rstudio/POSIT connect, RapidMiner. Keywords: continuous integration continuous deployment machine learning Michigan MLOps Engineer || Ann Arbor- MI-Hybrid [email protected] |
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| Mon May 13 19:14:00 UTC 2024 |