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 like AWS and containerization technologies such as Docker and Kubernetes is necessary. Familiarity with machine learning frameworks including TensorFlow, PyTorch, and Scikit-learn is essential. A strong understanding of MLOps principles and data engineering practices is also required. Experience with machine learning and deep learning is a key requirement for this position.