AWS MLOps Specialist

We are seeking a skilled Machine Learning Operations (MLOps) Engineer with expertise in AWS 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.

Key Responsibilities:

• Design and implement ML pipelines for model training, testing, and deployment on AWS
• Automate ML workflows using continuous integration/continuous deployment (CI/CD) practices
• Optimize model performance and scalability in production
• Implement monitoring and logging for ML systems
• Implement and manage model versioning and experiment tracking
• Optimize cost and resource utilization for ML workloads in AWS
• Collaborate with data scientists and data engineers
• Ensure compliance with data privacy and security regulations

Requirements:

• University Degree in Computer Science or a related field
• At least 3 years of experience as an MLOps Engineer is required
• Proficiency in scripting languages such as Python
• Familiarity with Amazon SageMaker
• Advanced knowledge of AWS services, including Step Functions, DynamoDB, Lambda, CloudWatch, S3, and Terraform
• Experience with Infrastructure as Code (IoC)
• Proficiency with GitHub Actions for CI/CD
• Proficiency with version control using Git
• Understanding of data engineering concepts
• Excellent communication skills and strong attention to detail
• Excellent English verbal and written skills
• German communication skills are a plus