Responsibilities

• Conduct thorough data exploration and discovery analyses across multiple data sources.
• Design and execute experiments with data, developing working prototypes to illustrate concepts and findings effectively.
• Improve and optimize existing Python repositories, ensuring code quality and implementing best practices.
• Leverage big data technologies to construct scalable distributed AI pipelines and algorithms.
• Develop AI components and conduct experimentation on real-world data, leading to the integration of machine learning and AI functionalities into our products.
• Collaborate closely with data source providers to identify and develop new use cases that address challenges for our customers and clients effectively.
• Utilize Git for version control and Docker for containerization to streamline development processes and ensure consistent deployment environments.

Requirements