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 such as AWS is necessary. Familiarity with containerization technologies like Docker and orchestration tools such as Kubernetes is also required. Expertise in machine learning frameworks including TensorFlow PyTorch and Scikit-learn is essential. A strong understanding of MLOps principles and practices is needed.