AI SW Engineer- Enterprise AI at Northern Trust in Chicago, IL

Summary: Northern Trust is a globally recognized financial institution that has been operating since 1889. They are seeking a highly motivated Junior AI Engineer to join their Enterprise AI team, focusing on developing and implementing cutting-edge Artificial Intelligence solutions on the Microsoft Azure cloud platform. Responsibilities: - Assist in the design, development, and deployment of AI/ML models and solutions on Microsoft Azure - Collaborate with senior engineers and data scientists to collect, clean, and preprocess data for AI model training - Contribute to the development of robust and scalable AI applications using Python and relevant AI/ML frameworks - Participate in the testing, debugging, and validation of AI solutions to ensure accuracy and performance - Help maintain and monitor deployed AI solutions, identifying and resolving issues as they arise - Learn and apply MLOps & LLMOps best practices for continuous integration, delivery, and deployment of AI solutions - Collaborate with senior engineers and data scientists to collect, clean, and preprocess data for AI model training - Stay updated with the latest AI/ML technologies and Azure AI services through continuous learning and training - Implement and optimize AI algorithms and solutions under supervision - Provide support for existing AI solutions and contribute to their improvement - Be prepared to develop AI systems leveraging open-source frameworks such as: LangChain, AutoGen, LangGraph and LamaIndex - Be willing to learn cloud automation concepts such as IAC with various tools - Be willing to learn cloud security concepts and principles - Participate in an agile (scrum) development process Required Qualifications: - Computer Science degree - Python development skills utilizing standard development IDEs - DevOps including CI/CD techniques and tools such as Github repos - Some data science background and course work is desired - Have a good understanding of Generative AI and LLM models and principals - Have a good understanding of Retrieval Augmented Generation (RAG) - Basic level cloud infrastructure understanding Preferred Qualifications: - Data Science specific graduate work - Finance sector experience or coursework Required Skills: Python, Microsoft Azure, AI/ML frameworks Important Skills: DevOps, Generative AI, MLOps Nice-to-Have Skills: Data science, Cloud automation, Agile development Benefits: Retirement benefits (401k and pension), Health and welfare benefits (medical, dental, vision, spending accounts and disability), Paid time off, Parental and caregiver leave, Life & accident insurance, Other voluntary and well-being benefits, Discretionary bonus program that may include an equity component