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)
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