AI Scientist

As an individual contributor in this role, you will focus on developing and delivering technology solutions related to liquidity management, cash management, and payments. You will support multiple applications and processes in this domain and provide technical expertise and advisory support to your peers and business partners. Your key responsibilities will include: - Demonstrating 7+ years of experience in Python and proficiency in AI/ML frameworks such as scikit-learn, TensorFlow, etc. - Having a solid understanding of machine learning, statistics, and data analysis. - Exposure to NLP, GenAI, and large language models. - Demonstrating experience in using scalable cloud-based tools like Databricks, version control and collaboration tools like Git, JIRA, and containerization tools like Docker, Kubernetes. - Proficiency in writing SQL/Spark scripts, developing robust and efficient modular Python code in a non-notebook environment, creating APIs, and working with Git version control tools. - Utilizing strong communication, analytical, and problem-solving skills to develop unique solutions to complex and abstract issues and offer interpretive advice to business and functional leaders. - Seeking out innovative solutions and embracing evolving technologies, while easily adapting to new tools and trends. No additional details about the company were provided in the job description. As an individual contributor in this role, you will focus on developing and delivering technology solutions related to liquidity management, cash management, and payments. You will support multiple applications and processes in this domain and provide technical expertise and advisory support to your peers and business partners. Your key responsibilities will include: - Demonstrating 7+ years of experience in Python and proficiency in AI/ML frameworks such as scikit-learn, TensorFlow, etc. - Having a solid understanding of machine learning, statistics, and data analysis. - Exposure to NLP, GenAI, and large language models. - Demonstrating experience in using scalable cloud-based tools like Databricks, version control and collaboration tools like Git, JIRA, and containerization tools like Docker, Kubernetes. - Proficiency in writing SQL/Spark scripts, developing robust and efficient modular Python code in a non-notebook environment, creating APIs, and working with Git version control tools. - Utilizing strong communication, analytical, and problem-solving skills to develop unique solutions to complex and abstract issues and offer interpretive advice to business and functional leaders. - Seeking out innovative solutions and embracing evolving technologies, while easily adapting to new tools and trends. No additional details about the company were provided in the job description.