The role involves developing and deploying machine learning models. It also includes building and maintaining data pipelines. The position requires working with large datasets to extract insights. The individual will contribute to the design and implementation of AI-driven solutions.

The role requires proficiency in Python and SQL for data manipulation and analysis. Experience with cloud platforms such as AWS is necessary. Familiarity with containerization technologies like Docker and Kubernetes is also required. The position necessitates expertise in machine learning frameworks including TensorFlow PyTorch and Scikit-learn. A strong understanding of data manipulation libraries such as Pandas and NumPy is essential.