MLOps Engineer (Institute of Smart Systems and Artificial Intelligence)

Компания "Nazarbayev University"

Responsibility:

• - deploying, monitoring, and maintaining machine learning models in production
  environments;
  - working closely with data scientists;
  - ensuring seamless integration of machine learning models into operational
  workflows;
  - managing GitHub and Hugging Face repositories (datasets, models, and
  spaces).

Required skills and experience

• At least 2 years of experience in MLOps, DevOps or a related field.
• At least Bachelor’s degree in Computer Science, Data Science or a related
• field.
• Proficiency in Linux based operating systems.
• 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 working on the Hugging Face platform.
• Knowledge of CI/CD pipelines, automation tools and version control
• systems like Git.
• Familiarity with containerization and orchestration tools such as Docker
• and Kubernetes.
• Experience with monitoring tools and practices for model performance in
• production (WandB, Tensorboard).
• Ability to work collaboratively in cross-functional teams.
• Knowledge of SQL would be a plus.
• Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services would be a plus.