onsite
Deep Learning Engineer - alfatraining Bildungszentrum GmbH
ML Engineer
Deep Learning Engineer responsible for designing, training, and deploying advanced neural network models using Python, TensorFlow, and PyTorch on AWS infrastructure to solve complex data problems.
About the role
Key Responsibilities
- Design, implement, and optimize deep learning models for image, text, and speech applications.
- Collaborate with data scientists to preprocess large datasets and engineer features.
- Deploy models to production using AWS services such as SageMaker, ECS, and Lambda.
- Monitor model performance, troubleshoot issues, and iterate for continuous improvement.
- Document architecture, code, and best practices for internal knowledge sharing.
Requirements
- Strong programming skills in Python and experience with TensorFlow or PyTorch.
- Hands‑on experience with cloud platforms, preferably AWS.
- Solid understanding of machine learning fundamentals and neural network theory.
- Experience with version control (Git) and CI/CD pipelines.
- Excellent problem‑solving skills and ability to work in a fast‑paced environment.
Skills
pythontensorflowpytorchmachine learningaws