MLOps with AWS

<p><strong>What awaits you </strong></p> <p> </p> <p>We're seeking a skilled MLOps Engineer with AWS expertise to bridge the gap between data science and production environments. The ideal candidate will streamline machine learning workflows and ensure the seamless deployment and monitoring of ML models on AWS infrastructure. </p> <p> </p> <ul> <li>Design and implement ML pipelines for model training, testing, and deployment on AWS </li> <li>Automate ML workflows using CI/CD practices </li> <li>Optimize model performance and scalability in production </li> <li>Implement monitoring and logging for ML systems </li> <li>Implement and manage model versioning and experiment tracking </li> <li>Optimize cost and resource utilization for ML workloads in AWS </li> <li>Collaborate with data scientists and data engineers </li> <li>Ensure compliance with data privacy and security regulations </li> </ul> <p> </p> <p><strong>What should you bring along </strong></p> <p> </p> <ul> <li>University Degree in Computer Science or a related field </li> <li>At least 3 years of experience on a similar role is required  </li> <li>Scripting in Python</li> <li>Familiarity with Amazon SageMaker </li> <li>Proficiency in containerization (Docker) </li> <li>Advanced knowledge of AWS services, including AWS Step Functions, Amazon DynamoDB, Lambda, CloudWatch, S3 </li> <li>Experience with IoC using Terraform </li> <li>Proficiency with GitHub Actions for CI/CD </li> <li>Proficiency with version control (Git) </li> <li>Understanding of data engineering concepts </li> <li>Excellent communication skills and strong attention to detail </li> <li>Excellent English verbal and written skills </li> <li>German communication skills will be a plus </li> </ul>