AI Engineer
at Millennium
Posted 20 hours ago
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- Compensation
- Not specified
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Seeking an experienced AI/ML software engineer to design, experiment with, and productionize AI solutions (LLMs, deep learning, reinforcement learning) supporting portfolio managers, researchers, traders and risk teams. Responsibilities include building AI/ML models and supporting infrastructure such as data pipelines, feature stores, deployment and retraining frameworks. The role requires strong software engineering skills, proficiency in Python and another language, cloud experience, and hands-on experience with LLM techniques (prompt engineering, PEFT, fine-tuning). Ideal candidates can collaborate with quantitative and business stakeholders and adapt to a start-up-like environment within a larger institution.
We are working on different areas where AI/ML can help portfolio managers, researchers, risk managers, and other functions. Some examples are: enabling traders/researchers to consume vast amounts of research and literature by organizing, summarizing information, sometimes in near real-time; doing quantitative modeling to price instruments, modeling demand and supply of commodities and other fundamentals; modeling weather, optimizing algorithmic execution of trades; modeling and building simulations of risk.
The AI/ML work spans usage of LLMs, deep learning, reinforcement learning and other ML techniques. The work also requires building AI/ML infrastructure for data wrangling, building feature stores, building frameworks for deployments, measurements, re-training, etc.
We are seeking a AI/ML SWE who has experience with LLMs, deep learning, reinforcement learning as well as an interest and ability to keep up with advancements in AI/ML. The candidate should also be strong in software engineering and be comfortable with AI/ML experimentation and productionization.
Key Responsibilities
- Engage and collaborate with business stakeholders, quants, and other market researchers to deeply understand the problem space.
- Experiment, iterate, productionize AI/ML solutions.
- Build supporting data and AI/ML infrastructure and tools.
Required Skills and Qualifications
- Strong knowledge of the latest advancements in AI and machine learning.
- Strong fundamentals in computer science.
- Proficiency in Python and at least 1 other language such as Java, C++, C#, etc.
- Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).
- Experience with using LLMs and with techniques such as prompt engineering, PEFT, fine-tuning, etc.
- Ability to build and evaluate AI models and tools using quantifiable metrics.
- Excellent problem-solving skills and ability to work independently as well as part of a team.
- Strong communication skills to effectively collaborate with developers and other stakeholders.
- Adaptable and willing to work in a start-up-like environment within a major institution.
Preferred Qualifications
- Advanced degree in Computer Science, AI, Machine Learning, or a related field.
- Experience in developing AI solutions for financial institutions.
- Knowledge of additional programming languages and frameworks.
