Machine Learning Operations Engineer
4 days ago
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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