About Millennium
About the role
Senior AI Engineer We are looking for a Senior AI Engineer to join our AI Rapid Application Development team within Corporate Technology to design, develop, and deploy advanced AI-driven applications and solutions to support many of the Firm’s critical businesses. The successful candidate will be using their extensive and proven knowledge in AI/ML to work with other engineers and business partners to come up with practical ideas which leverages AI/ML to produce efficiencies, actionable insights, and innovation for our stakeholders. Responsibilities: - Understand and translate business problems into working solutions. - Design, build and maintain end-to-end pipelines for LLM solutions based on Portfolio Manager requirements. - Identify, design, and implement internal process improvements, including re-designing and integrating applications infrastructure with scalability and availability, etc. - Work with stakeholders from both the business and technology organizations to optimize product design. - Build, test and deploy these AI products to solve specific Portfolio Manager workflows. In addition, solutions should be generalizable to enhance the AI team's solution set. - Leveraging generative AI solutions and traditional NLP techniques.\ Qualifications: - Bachelor’s or master’s degree in Computer Science, Data Science, Machine Learning or related fields - 10+ years of experience working in a large-scale organization, most of which focused on AI/ML related projects. - Advanced proficiency in Python, including object-oriented techniques and REST API development. - Demonstrated experience building with ML algorithms and/or LLMs, using LLM Frameworks and other related NLP techniques. - Experience with development of end-to-end asynchronous application, including CI/CD frameworks. - Demonstrated experience with Vector DBs and SQL databases is a plus. - Strong interpersonal and communication skills that can work independently and in a collaborative environment. - Excellent self-management and problem-solving skills, able to handle several projects with different priorities at the same time in a fast-paced environment.
Responsibilities
- Understand and translate business problems into working solutions.
- Design, build and maintain end-to-end pipelines for LLM solutions based on Portfolio Manager requirements.
- Identify, design, and implement internal process improvements, including re-designing and integrating applications infrastructure with scalability and availability, etc.
- Work with stakeholders from both the business and technology organizations to optimize product design.
- Build, test and deploy these AI products to solve specific Portfolio Manager workflows. In addition, solutions should be generalizable to enhance the AI team's solution set.
- Leveraging generative AI solutions and traditional NLP techniques.\
Requirements
- Bachelor’s or master’s degree in Computer Science, Data Science, Machine Learning or related fields
- 10+ years of experience working in a large-scale organization, most of which focused on AI/ML related projects.
- Advanced proficiency in Python, including object-oriented techniques and REST API development.
- Demonstrated experience building with ML algorithms and/or LLMs, using LLM Frameworks and other related NLP techniques.
- Experience with development of end-to-end asynchronous application, including CI/CD frameworks.
- Demonstrated experience with Vector DBs and SQL databases is a plus.
- Strong interpersonal and communication skills that can work independently and in a collaborative environment.
- Excellent self-management and problem-solving skills, able to handle several projects with different priorities at the same time in a fast-paced environment.



