Software Engineer Learning Engineering and Data (LEaD) Program
Millennium is a large global alternative investment manager with a strong commitment to leveraging innovations in technology and data. As a member of our Miami based Learning Engineering and Data (LEaD) program LEaD engineers can expect to get comprehensive training and work alongside technology mentors and leaders to develop and maintain applications and tools spanning frontoffice middleoffice and backoffice functions in a dynamic and fast paced environment. LEaD engineers can expect to have exposure to investment teams and technologists in different parts of Millenniums organization while learning new skill sets through handson training and development opportunities.
Main Function:
Our technology teams are looking for Software Engineers with C Python or Java to design implement and maintain systems supporting our technology business functions. Candidate is expected to:
- Work closely with technology teams to develop requirements and specifications for varying projects
- Take part in the development and enhancement of the backend distributed system
- Apply AI/ML deep learning natural language processing large language models to practical and comprehensive technology solutions
Qualifications/Skills Required:
- 25 years of experience working with C Python or Java
- Experience with ML libraries Pandas NumPy FastAPI (Python) Boost (C) Spring Boot (Java)
- Must be comfortable working in both Unix/Linux and Windows environments
- Good understanding of various design patterns
- Strong analytical and mathematical skills along with an interest/ability to quickly learn additional languages and quantitative concepts
- Solid communication skills
- Able to work collaboratively in a fastpaced environment with a passion to solving complex problems
- Detail oriented organized demonstrating thoroughness and strong ownership of work
Desirable Skills/Knowledge:
- Bachelor or Masters degree in Computer Science Engineering Applied Mathematics Statistics or Data Science/ML/AI
- Demonstrable passion for developing LLMpowered products whether that is through commercial experience or open source/academic projects you have worked on in your own time
- Hands on experience building ML and data pipeline architectures
- Understanding of distributed messaging systems
- Experience with Docker/Kubernetes micro services architecture in a cloud environment (AWS GCP preferred)
- Experience with relational and nonrelational database platforms