Senior Data Scientist Machine Learning Engineer

The R&D department plays a pivotal role in driving Shelf to disrupt the market. We are looking for Machine Learning experts that are able to deliver end to end with a blend of experience: Python engineering, ML engineering, and pragmatic Data science and Machine learning research. You will ship end-to-end features—from problem framing and experimentation to service deployment, and ongoing operations—quickly and with high quality. Your work will power ML- and LLM-driven services used by top entities. We are looking for a Senior Data Scientist Machine Learning Engineer who can lead the development of innovative machine learning models and deploy them in production environments. The ideal candidate should have experience in building and deploying scalable machine learning models, as well as expertise in data preprocessing, feature engineering, model evaluation, and hyperparameter tuning. Additionally, you will be responsible for collaborating with cross-functional teams to integrate machine learning models into larger systems, and ensuring the quality of the output through rigorous testing and validation. The successful candidate should have a strong background in machine learning, deep learning, and neural networks, as well as experience working with large datasets and distributed computing environments. You should also be familiar with cloud-based platforms such as AWS or Google Cloud, and have experience deploying models using containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes).