| MLOps Engineer at Ann Arbor, Michigan, USA |
| Email: [email protected] |
| From: Ramashankar, vyzeinc [email protected] Reply to: [email protected] Job Description - **Need LinkedIn and Local DL with submission** Job Title - MLOps Engineer Base Location Ann Arbor, Michigan (Hybrid) Duration 12+ months Someone with recent client domain experience will be preferred Proven experience as an MLOps Engineer, specifically with Azure ML and related Azure technologies 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). Knowledge of software engineering best practices such as test-driven development (TDD) and code reviews. Experience with Rstudio/POSIT connect, RapidMiner Rama Shankar Singh IT Recruiter Vyze Inc. E: [email protected] Keywords: continuous integration continuous deployment machine learning information technology MLOps Engineer [email protected] |
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| Mon Apr 01 22:40:00 UTC 2024 |