Mlops Engineer

-
Required Skills:


• 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, sClientifically with Azure Client and related Azure technologies.

• Good experience 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 - SClientialty, 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.