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 solutions. The individual will also be responsible for evaluating and improving model performance.

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. Experience with machine learning frameworks such as PyTorch TensorFlow or Scikit-learn is essential. Knowledge of MLOps tools including MLflow and Airflow is needed.