Python Engineer (Remote)

Deine Rolle im Team

Develop and deploy advanced machine learning and deep learning models for real-world applications.

Build and refine high-quality datasets, ensuring robustness and relevance.

Conduct data analysis to guide model development and validate performance.

Manage the end-to-end ML lifecycle — from training and tuning to validation and deployment.

Implement MLOps practices (CI/CD, monitoring, automation).

Work with Python and core AI/ML libraries (e.g., PyTorch, TensorFlow, scikit-learn).

Containerize models using Docker for scalable deployment.

For LLM applications: design and test prompts, evaluate outputs, and support data labeling and fine-tuning.

Collaborate with Product Owners, Software Engineers, and QA teams to integrate AI models into production.

Technologien und Skills

Docker

TensorFlow

PyTorch

scikit-learn

Python

Unsere Erwartungen an dich:

Qualifikationen

Solid understanding of ML algorithms, deep learning architectures, and statistical modeling.

Familiarity with Docker and CI/CD pipelines.

Excellent analytical and problem-solving skills.

Erfahrung

Proven experience developing and deploying ML models in production.

Strong Python skills and hands-on experience with PyTorch, TensorFlow, or scikit-learn.

Experience with feature engineering, data preprocessing, and MLOps tools.

Benefits

Home Office

Team Events

Flexible Arbeitszeiten