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 like AWS is necessary. Familiarity with containerization technologies such as Docker and Kubernetes is also required. The position necessitates hands-on experience with machine learning frameworks including TensorFlow PyTorch and Scikit-learn. A strong understanding of data manipulation libraries like Pandas and NumPy is essential. Version control using Git is a mandatory skill.