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. Furthermore, the individual will be responsible for monitoring model performance and iterating on solutions.

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 like Kubernetes is also required. The candidate must have hands-on experience with machine learning frameworks including TensorFlow, PyTorch, and Scikit-learn. Knowledge of MLOps tools such as MLflow and workflow management tools like Airflow is essential.