Machine Learning Engineer - Infrastructure and Operations

Possess a strong background in machine learning, computer science, or a related field. Have 5+ years of experience in building and deploying machine learning models in production environments. Demonstrate proficiency in cloud computing platforms such as AWS, GCP, or Azure. Have experience with containerization technologies like Docker and orchestration tools like Kubernetes. Exhibit strong problem-solving skills and the ability to troubleshoot complex technical issues. Possess excellent communication and collaboration skills to work effectively in a remote team environment.

Architect and maintain robust and scalable machine learning infrastructure. Collaborate with data scientists and engineers to deploy and monitor machine learning models. Implement automated workflows for model training, validation, and deployment. Optimize and fine-tune the performance of machine learning systems. Ensure data security, privacy, and compliance within the machine learning infrastructure. Troubleshoot and resolve infrastructure-related issues. Contribute to the evaluation and adoption of new technologies and tools in the machine learning space.