Software Engineer - Learning Engineering And Data (Lead) Program

Software Engineer - Learning Engineering and Data (LEaD) ProgramMillennium 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 front-office, middle-office and back-office functions in a dynamic and fast paced environment. LEaD engineers can expect to have exposure to investment teams and technologists in different parts of Millennium's organization while learning new skill sets through hands-on 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 projectsTake part in the development and enhancement of the backend distributed systemApply AI/ML ( deep learning, natural language processing, large language models ) to practical and comprehensive technology solutionsQualifications/Skills Required:2-5 years of experience working with C++, Python, or JavaExperience with ML libraries, Pandas, NumPy, FastAPI (Python), Boost (C++), Spring Boot (Java)Must be comfortable working in both Unix/Linux and Windows environmentsGood understanding of various design patternsStrong analytical and mathematical skills along with an interest/ability to quickly learn additional languages and quantitative conceptsSolid communication skillsAble to work collaboratively in a fast-paced environment with a passion to solving complex problemsDetail oriented, organized, demonstrating thoroughness and strong ownership of workDesirable Skills/Knowledge:Bachelor or Master's degree in Computer Science, Engineering, Applied Mathematics, Statistics or Data Science/ML/AIDemonstrable passion for developing LLM-powered products whether that is through commercial experience or open source/academic projects you have worked on in your own timeHands on experience building ML and data pipeline architecturesUnderstanding of distributed messaging systemsExperience with Docker/Kubernetes, micro services architecture in a cloud environment (AWS, GCP preferred)Experience with relational and non-relational database platforms