onsite
Junior Machine Learning Engineer - Reply Deutschland SE
ML Engineer
Junior Machine Learning Engineer focused on building, maintaining, and operating data‑intensive cloud solutions, leveraging Python, deep‑learning frameworks, and AWS services to deliver end‑to‑end ML pipelines.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine‑learning pipelines on cloud platforms.
- Implement data preprocessing, feature engineering, model training, and evaluation using Python and deep‑learning libraries.
- Collaborate with cross‑functional teams to integrate ML models into production systems and ensure scalability.
- Monitor model performance, troubleshoot issues, and perform routine maintenance of cloud‑based infrastructure.
- Document solutions, create reproducible code, and contribute to best‑practice guidelines.
Requirements
- Strong programming skills in Python and experience with TensorFlow or PyTorch.
- Hands‑on experience with AWS services (e.g., S3, EC2, SageMaker) and containerization tools such as Docker.
- Understanding of data pipelines, model lifecycle management, and version control (Git).
- Ability to work in an agile, international team and communicate technical concepts clearly.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
Skills
pythontensorflowpytorchawsdocker