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. The individual will be responsible for optimizing model performance and ensuring scalability.

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 essential for deployment. Expertise in machine learning frameworks including TensorFlow PyTorch and Scikit-learn is expected. A strong understanding of MLOps principles and data engineering practices is also required.