Machine Learning Engineer/SRE-100% Remote

Hirevector is seeking a highly skilled Machine Learning Engineer/SRE to join their team remotely. The role involves managing Azure infrastructure for AI model development and deployment, monitoring model performance, and responding to incidents. This is a 12-month contract position with a focus on MLOps and site reliability.

• Manage Azure infrastructure for AI model development and deployment, ensuring scalability and performance
• Implement and maintain monitoring systems to track model performance, proactively identifying issues
• Collaborate with SRE team to respond promptly to outages and incidents related to model operations

• Proficiency in managing Azure infrastructure components (VMs, storage, networking)
• Experience with CI/CD pipelines and automating model deployment processes
• Strong knowledge of containerization technologies like Docker and Kubernetes
• Proficient in building and optimizing machine learning models
• Programming skills in Python and libraries such as TensorFlow and PyTorch
• Experience in data preprocessing, feature engineering, and data pipeline development

• Experience with cloud-based ML platforms (e.g., Azure Machine Learning)