Your new role
-Develop and manage MLOps infrastructure to facilitate the deployment, scaling, and monitoring of machine learning models.
- Work collaboratively with data scientists and engineering teams to move machine learning models from development to production smoothly.
- Implement and manage automation tools for continuous integration, testing, and deployment of machine learning systems.
- Apply best practices in version control, testing, and containerization for machine learning models.
What you'll need to succeed
-Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
- Proven experience in MLOps, with a strong background in machine learning and DevOps practices.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and DevOps tools (e.g., Docker, Kubernetes, Jenkins).
- Knowledge of CI/CD pipelines, automation processes, and cloud infrastructure.
What you need to do now
If you're interested in this role, reach out to me directly at my email address ( [email protected]) with your updated CV. Referrals are always welcomed so feel free to forward this to anyone you know who might be good for this role.
EA Reg no: R22104585
EA License Number: 07C3924 | Company Registration No: 200609504D