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MLOps Engineer

3 months ago

Ann Arbor, United States Techions Full time

Azure ML and related Azure technologies

Strong programming skills in languages such as Python, Java, or Scala


Responsibilities:


•          Design, implement, and maintain end-to-end machine learning pipelines for model training, validation, and deployment.

•          Collaborate with data scientists, software engineers, and DevOps engineers to integrate machine learning models into production systems.

•          Develop automation tools and frameworks to streamline the machine learning workflow, including data preprocessing, feature engineering, model training, and evaluation.

•          Optimize model performance and scalability by leveraging cloud computing resources and distributed computing techniques.

•          Implement monitoring and logging solutions to track model performance, data quality, and system health in production.

•          Manage model versioning, experimentation, and reproducibility using version control systems and experiment tracking tools.

•          Stay up to date with the latest trends and technologies in machine learning, cloud computing, and software engineering, and incorporate them into the MLOps workflow.

•          Provide technical guidance and mentorship to junior team members on best practices for MLOps.


Qualifications:



•          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).

  • Bachelor's degree or higher in computer science, engineering, mathematics, or related field.