Job description

We’re seeking a skilled MLOps Engineer for one of our clients. Requirements: • 3+ years of experience in MLOps, ML engineering, or DevOps roles supporting ML systems • Proficiency in Python and familiarity with ML frameworks like TensorFlow, PyTorch, or Scikit-learn • Hands-on experience with orchestration tools (e.g., Kubeflow, MLflow, Airflow) • Experience with cloud computing platforms (AWS, GCP, or Azure) • Strong understanding of CI/CD concepts and version control systems like Git • Familiarity with containerization and orchestration tools (Docker, Kubernetes) • Experience with model monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack) • Solid understanding of the ML lifecycle, from experimentation to production Preferred Qualifications: • Experience with infrastructure-as-code (Terraform, CloudFormation) • Background in software engineering or data engineering • Knowledge of responsible AI practices and model interpretability tools • Certifications in cloud platforms or MLOps tools (a plus)

Requirements