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Senior MLOps Developer
1 week ago
About the Role
We are seeking a seasoned Senior MLOps engineer to join our Research team at Uppsala Monitoring Centre (UMC) in Uppsala. As a key member of our data science team, you will be responsible for deploying machine learning models on cloud platforms, ensuring proper experiment tracking, and managing CI/CD processes.
Key Responsibilities
- Deploy and manage machine learning models on cloud platforms such as Azure.
- Collaborate with data scientists to ensure deployed models are continuously monitored and retrained as necessary.
- Design scalable systems to handle increased load and data size.
- Develop and manage CI/CD pipelines for continuous deployment and integration of models.
- Automate deployment pipelines to streamline model deployment processes.
- Implement proper experiment tracking during model development to ensure reproducibility.
- Deploy API backends in the cloud, setting up API keys and access controls for internal and potentially external use.
- Implement security best practices for model deployment and API management.
Requirements
- Bachelor's or master's degree in computer science, data science, or a related field.
- Proven experience with cloud platforms, preferably Azure.
- Strong knowledge of Python and machine learning frameworks, knowledge of R is a plus.
- At least 5 years of experience in MLOps and designing and managing CI/CD pipelines.
- Proficiency in Git.
- Knowledge of one IaC language is a plus.
- Understanding of API development and management, including security best practices.
- Experience with experiment tracking tools (such as MLflow, Weights & Biases).
- Excellent problem-solving skills and the ability to troubleshoot complex issues.
- Good understanding of cloud security best practices and compliance standards.
- Rigour in documentation and testing.
- Strong interpersonal skills and comfortable working with multiple stakeholders from different backgrounds and nationalities.
What We Offer
Located in the heart of Uppsala, we offer a dynamic work environment with opportunities for growth and professional development. We have generous employee-benefit policies and allow hybrid working with the opportunity to work remotely up to 2 days a week.
For more information about our activities and products, visit www.who-umc.org.
