Bachelors or Masters degree in Computer Science, Engineering, or related field.
7+ years of experience in ML Ops, DevOps, or related roles.
Hands-on experience with Azure ML, Azure DevOps, Azure Kubernetes Service (AKS), and Azure Data Factory.
Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Experience with containerization (Docker) and orchestration (Kubernetes).
Familiarity with monitoring tools (e.g., Prometheus, Grafana) and logging frameworks.
Solid understanding of ML lifecycle, model versioning, and reproducibility.
Excellent problem-solving and communication skills.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full time