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. The individual will also be responsible for evaluating and improving model performance.

The role requires proficiency in Python and SQL for data manipulation and model development. Experience with cloud platforms like AWS is necessary, along with containerization technologies such as Docker and Kubernetes. Familiarity with machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn is essential. The position also demands expertise in MLOps and data engineering practices for building and deploying machine learning solutions.