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DevOps Engineer
4 months ago
Requirements :
- Bachelor's or higher degree in Computer Science, Engineering, or a related field.
- Minimum of 5 years of relevant experience as a DevOps Engineer with a focus on ML projects and experience with MLOPS tools like MLFlow and Tecton.
- In-depth understanding and hands-on experience with MLOPS tools such as MLFlow, Tecton, Kubeflow, or similar platforms.
- Strong knowledge of DevOps principles, CI/CD pipelines, and experience with tools like Jenkins, GitLab CI, or CircleCI.
- Familiarity with cloud platforms such as AWS, Azure, or GCP and experience with managing cloud-based infrastructure.
- Proficiency in containerization technologies like Docker and container orchestration tools like Kubernetes.
- Proficient in scripting languages (e. g., Python, Bash) and automation tools (e. g., Ansible, Terraform).
- Understanding of machine learning concepts, model training, evaluation metrics, and data preprocessing.
- Excellent communication skills and ability to work collaboratively in cross-functional teams.