Warning
Mae'r hysbyseb swydd hon wedi dod i ben ac mae'r ceisiadau wedi cau.
Machine Learning Operations (MLOps) Engineer
| Dyddiad hysbysebu: | 11 Rhagfyr 2024 |
|---|---|
| Cyflog: | £45,000 i £70,000 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 10 Ionawr 2025 |
| Lleoliad: | Birmingham, West Midlands |
| Gweithio o bell: | Hybrid - gweithio o bell hyd at 3 ddiwrnod yr wythnos |
| Cwmni: | Devi Technologies |
| Math o swydd: | Parhaol |
| Cyfeirnod swydd: |
Crynodeb
Responsibilities:
Design and implement MLOps pipelines for model deployment and monitoring.
Collaborate with data scientists and engineers to operationalize machine learning workflows.
Optimize and automate model training, testing, and deployment processes.
Monitor model performance and ensure scalability in production environments.
Implement CI/CD pipelines for machine learning systems.
Requirements:
Proficiency in Python, Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
Strong understanding of machine learning lifecycle and deployment best practices.
Experience with tools like MLflow, Kubeflow, or Airflow.
Familiarity with version control systems (Git) and DevOps principles.
Bachelor’s or Master’s in AI, Machine Learning, or related field.
Design and implement MLOps pipelines for model deployment and monitoring.
Collaborate with data scientists and engineers to operationalize machine learning workflows.
Optimize and automate model training, testing, and deployment processes.
Monitor model performance and ensure scalability in production environments.
Implement CI/CD pipelines for machine learning systems.
Requirements:
Proficiency in Python, Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
Strong understanding of machine learning lifecycle and deployment best practices.
Experience with tools like MLflow, Kubeflow, or Airflow.
Familiarity with version control systems (Git) and DevOps principles.
Bachelor’s or Master’s in AI, Machine Learning, or related field.