Job Specifications
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 and modeling and building simulations of risk, to name a few.
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 an AI Engineering Lead 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
Lead and mentor a team of AI/ML engineers
Define technical vision and roadmap for AI/ML initiatives
Partner with stakeholders including portfolio managers, quants, and business teams to identify high-impact opportunities
Architect and build scalable AI/ML solutions from experimentation to production
Design AI/ML infrastructure including feature stores, deployment frameworks, and monitoring systems
Establish best practices for model development, deployment, and evaluation
Stay current with AI/ML advancements and apply them to business problems
Drive hiring and professional development of team members
Required Qualifications
Technical
Deep expertise in AI/ML including LLMs, deep learning, and reinforcement learning
Strong computer science fundamentals
Expert in Python and at least one other language (Java, C++, C#, etc.)
Experience with cloud platforms (AWS, Azure, or Google Cloud)
Hands-on experience with LLM techniques: prompt engineering, fine-tuning, PEFT, RAG
Track record of building and deploying AI models at scale
Experience with MLOps and production ML infrastructure
Leadership
3+ years leading AI/ML engineering teams
Proven ability to mentor engineers and grow talent
Strong communication skills with technical and non-technical stakeholders
Experience delivering complex projects on time
Comfortable balancing hands-on technical work with team leadership
Preferred Qualifications
Advanced degree (MS/PhD) in Computer Science, AI, ML, or related field
Experience in financial institutions or fintech
Background in reinforcement learning, quant modeling, or algorithmic trading
Publications, patents, or open-source contributions in AI/ML
Experience building AI/ML platforms from scratch
About the Company
Millennium is a global, diversified alternative investment firm, founded in 1989, which manages $77 billion in assets. Defined by evolution, innovation and focus, Millennium's mission is to deliver high-quality returns for our investors.
Millennium seeks to empower talented professionals with the sophisticated expertise, resources and technology to pursue a diverse range of investment strategies across industry sectors, asset classes and geographies.
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