The role involves developing and deploying machine learning models. It also includes building and maintaining data pipelines for model training and inference. The position requires contributing to the design and implementation of scalable AI systems. Additionally, the individual will collaborate with cross-functional teams to integrate AI solutions into products.

The role requires proficiency in Python and SQL for data manipulation and model development. Experience with cloud platforms such as AWS is necessary. Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes is also required. Expertise in machine learning frameworks such as TensorFlow PyTorch and Scikit-learn is essential. A strong understanding of MLOps principles and data engineering practices is needed.