Overview

Are you a Machine Learning Engineer seeking a new interesting challenge? If your answer is yes, it’s your lucky day, so keep reading, it can be just what you're looking for.

Responsibilities

• Deep proficiency in Python and its data science ecosystem, including libraries like Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch.
• Extensive hands-on experience with cloud platforms such as Azure and its ML services (e.g., SageMaker, Vertex AI, Azure Machine Learning).
• Expertise in containerization technologies like Docker and container orchestration frameworks, particularly Kubernetes.
• Proven experience building and managing automated CI/CD pipelines using tools such as Jenkins, GitLab CI, GitHub Actions, or CircleCI.
• Strong command of Infrastructure as Code (IaC) tools, with a preference for Terraform or CloudFormation.
• Practical experience with ML lifecycle management and experiment tracking p...