onsite
Software Engineer - Machine/Deep Learning Remote - zollsoft GmbH
ML Engineer
Lead the design and implementation of machine‑learning models, leveraging Python, TensorFlow/PyTorch, and data‑science techniques to deliver scalable AI solutions in a fully remote environment.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine‑learning pipelines using Python and deep‑learning frameworks such as TensorFlow or PyTorch.
- Collaborate with data scientists and product teams to translate business requirements into robust AI models.
- Optimize model performance and scalability, ensuring efficient inference in production environments.
- Maintain and improve data preprocessing, feature engineering, and model evaluation workflows.
- Document architecture, code, and best practices for internal knowledge sharing.
Requirements
- Strong programming skills in Python with experience in ML libraries (scikit‑learn, TensorFlow, PyTorch).
- Hands‑on experience building and deploying deep‑learning models for real‑world applications.
- Solid understanding of data pipelines, feature engineering, and model evaluation metrics.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) is a plus.
- Excellent problem‑solving skills and a collaborative mindset in a remote team setting.
Skills
pythonmachine learningdeep learningtensorflowpytorch