The role involves developing and deploying machine learning models. It requires building and maintaining data pipelines for model training and inference. The position focuses on integrating these models into production systems. This work will contribute to the company's AI-driven product offerings.

The role requires proficiency in Python and SQL for data manipulation and model development. Experience with cloud platforms like AWS is necessary. Familiarity with containerization technologies such as Docker and Kubernetes is also required. A strong understanding of MLOps principles and CI/CD practices is essential for deploying and managing machine learning models. Experience with deep learning frameworks like PyTorch or TensorFlow and libraries like Scikit-learn is expected.