Senior DevOps/MLOps Engineer
5 days ago
Role & responsibilities
DevOps tools (Jenkins, Git/Github, Docker) and configuration management (Ansible, Vagrant, Terraform, Chef).
More than8 years of experience in MLOps, DevOps or a related field.
Bachelors degree in Computer Science, Data Science or a related field.
Strong understanding of machine learning principles and model lifecycle management.
Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.
Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
Knowledge of CI/CD pipelines, automation tools and version control systems like Git.
Strong problem-solving skills and ability to troubleshoot complex issues.
Experience with monitoring tools and practices for model performance in production.
Ability to work collaboratively in cross-functional teams.
Preferred candidate profile
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