MLOps Engineer with Azure Experience - Remote

About the Role

We're hiring an MLOps Engineer with Azure Experience to join our team in a fully remote capacity. As an MLOps Engineer, you'll play a crucial role in deploying and managing machine learning models in the cloud, specifically using Azure technologies. This position offers a unique opportunity to work with cutting-edge AI and ML technologies while enjoying the flexibility of remote work.

What You'll Do

• Design and implement MLOps pipelines to automate the deployment of machine learning models.
• Utilize Azure ML, Azure Databricks, and Azure Data Factory to streamline data processing and model training.
• Collaborate with data scientists and software engineers to ensure seamless integration of machine learning solutions.
• Monitor and maintain the performance of deployed models, making necessary adjustments as needed.
• Document processes and provide training to team members on MLOps best practices.

Requirements

• Strong experience in AI/ML and MLOps, with a focus on Azure technologies.
• Familiarity with MLflow, Azure ML, Azure Storage, and Azure Data Factory.
• Experience with container orchestration using AKS (Azure Kubernetes Service).
• Ability to work independently in a remote environment.
• Entry-level candidates are encouraged to apply, with a willingness to learn and grow in the field.

Nice to Have

• Knowledge of Python and data science libraries such as Pandas and Scikit-learn.
• Experience with CI/CD practices in machine learning.
• Familiarity with cloud security best practices.

What We Offer

• 100% remote work flexibility.
• Contract-to-hire opportunity with potential for full-time employment.
• Collaborative and innovative work environment.
• Access to the latest tools and technologies in AI and ML.
• Opportunities for professional development and growth.