Machine Learning Operations Engineer

4 days ago


Ann Arbor, Michigan, United States Evolutyz Corp Full time

About Evolutyz Corp

We are a vibrant, award-winning, woman-owned IT consulting firm headquartered in the Midwest. We are passionate about innovation and committed to driving business transformation with our custom technical solutions. As a certified MBE enterprise, we foster a diverse and inclusive work environment where your ideas are valued. At Evolutyz, you'll find the perfect opportunity to grow your career, make an impact, and collaborate with a team that supports your professional journey.

**Job Summary:**

We are seeking a highly skilled Machine Learning Operations Engineer to join our team. As a key member of our team, you will be responsible for designing, implementing, and maintaining large-scale machine learning systems.

**Key Responsibilities:**

  • Design and implement scalable machine learning pipelines using Azure ML and related Azure technologies.
  • Develop and maintain containerized applications using Docker and orchestration tools like Kubernetes.
  • Implement automation tools like JIRA, Ansible, Jenkins, Docker compose, Artifactory, etc. to streamline our development process.
  • Collaborate with cross-functional teams to ensure seamless integration of machine learning systems with our existing infrastructure.
  • Stay up-to-date with the latest advancements in machine learning and cloud computing, and apply this knowledge to improve our systems and processes.

**Requirements:**

  • Strong programming skills in languages such as Python, Java, or Scala.
  • Experience as an MLOps Engineer, specifically with Azure ML and related Azure technologies.
  • Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
  • Proficiency in automation tools like JIRA, Ansible, Jenkins, Docker compose, Artifactory, etc.
  • 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.


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