 
						Mlops Engineer
2 days ago
**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.
**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**
EA Reg no: R22104585
EA License Number: 07C3924 | Company Registration No: 200609504D
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