Deep Learning Engineer

🔍 About the Role

We are looking for a skilled Deep Learning Specialist to support a high-impact project focused on developing and deploying AI models at scale. You’ll be responsible for designing neural network architectures, training models with large datasets, and helping integrate ML pipelines into production environments.

🧠 Key Responsibilities

• Design, train, and evaluate deep neural networks for classification, prediction, or generative tasks
• Optimize models for performance, accuracy, and efficiency
• Collaborate with data engineers and domain experts to improve data pipelines and labeling strategies
• Stay up to date with state-of-the-art techniques and implement the latest research where relevant
• Contribute to deployment strategies (ONNX, TensorRT, TorchScript, etc.)
• Write clean, modular, and well-documented code

✅ Requirements

• Proven experience with Deep Learning frameworks: PyTorch and/or TensorFlow
• Strong Python coding skills and experience with Jupyter, NumPy, Pandas, etc.
• Solid understanding of CNNs, RNNs, transformers, and self-supervised or generative models
• Experience with MLOps tools and model deployment pipelines (e.g., MLflow, Docker, AWS/GCP)
• MSc or PhD in AI, Computer Science, Applied Mathematics, or related field
• Fluent in English (French or German is a plus)
• Based in Luxembourg or able to work CET hours

🎯 Nice to Have

• Experience in sectors like finance, biotech, or autonomous systems
• Familiarity with LLMs, diffusion models, or reinforcement learning
• Contributions to open-source projects or published papers