The role involves developing and deploying machine learning models. It requires building and maintaining data pipelines for model training and inference. The position also entails collaborating with cross-functional teams to integrate AI solutions into existing products. The individual will be responsible for monitoring and optimizing model performance in production environments.

The role requires proficiency in Python and SQL for data manipulation and model development. Experience with cloud platforms like AWS is necessary, along with expertise in containerization technologies such as Docker and Kubernetes. A strong background in machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn is essential. The candidate must also have practical experience in MLOps and data engineering practices.