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Software Engineer - Machine/Deep Learning Remote Friendly - zollsoft GmbH
ML Engineer
Lead the design and deployment of machine‑learning models using Python, TensorFlow/PyTorch, and AWS services, driving data‑driven solutions from concept to production in a flexible remote environment.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end machine‑learning pipelines for predictive analytics and computer vision tasks.
- Collaborate with data scientists to translate research prototypes into scalable, production‑ready services.
- Implement model training, hyper‑parameter tuning, and evaluation using TensorFlow or PyTorch frameworks.
- Deploy models to AWS (SageMaker, ECS, Lambda) ensuring high availability and performance.
- Monitor model drift, performance metrics, and orchestrate retraining workflows.
Requirements
- Strong programming skills in Python and experience with ML libraries (TensorFlow, PyTorch).
- Hands‑on experience deploying models on AWS (SageMaker, ECS, Lambda).
- Solid understanding of data preprocessing, feature engineering, and model evaluation.
- Experience with CI/CD pipelines for ML workflows.
- Excellent problem‑solving skills and ability to work independently in a remote setting.
Skills
pythonmachine learningdeep learningtensorflowpytorchaws