Millennium · 3 weeks ago
Python Engineer - AI for Equities Technology
New York, NY
Full-time
Onsite
Senior Level
$175K/yr - $250K/yr
5+ years expMillennium is building a cutting-edge data transformation platform designed to convert unstructured data into structured, machine-readable formats for AI and analytics workflows. As a Senior Python Engineer, you will be instrumental in designing, developing, and optimizing high-performance data transformation pipelines and the Document Retrieval REST service.
Asset ManagementFinanceFinancial ServicesHedge Funds
Responsibilities
Design, build, and maintain modular, high-throughput pipelines for ingesting and transforming diverse data types using both traditional parsing methods and AI-powered techniques
Own the development and maintenance of the Document Retrieval REST service, ensuring seamless integration with data pipelines and high-performance document retrieval
Manage and optimize the MongoDB database, ensuring scalability, performance, and efficient document retrieval through techniques like index optimization
Perform statistical analysis on ingested and retrieved data, enforce governance policies, and manage entitlements for data pipelines
Ensure metadata structures remain normalized while accommodating the breadth of diverse data sources
Engineer and optimize prompts, extraction logic, and workflows using modern LLM orchestration frameworks for accurate interpretation of complex data
Implement algorithms for parsing, segmentation, vectorization, and structured output generation using standard data-processing libraries
Build and deploy solutions on major cloud platforms, ensuring scalability and reliability
Write resilient, production-ready code for Linux-based environments
Work within an Agile team alongside analysts, domain experts, and platform engineers to deliver high-quality solutions
Maintain high standards for code quality, testing, and documentation
Qualification
Required
5+ years of professional Python experience with strong OOP principles, design patterns, and large-scale system development
Solid experience with data-processing and numerical libraries (e.g., Pandas, NumPy)
Hands-on experience with LLM-integrated application frameworks and AI-powered workflows
Proven expertise in parsing and transforming data across multiple formats (structured, semi-structured, unstructured)
Experience deploying solutions on major cloud providers (e.g., AWS, Azure, GCP)
Strong DB proficiency and experience integrating with optimizing databases (NoSQL preferred)
Comfortable working in Linux/Unix environments with shell scripting
Preferred
Background in data-intensive or financial industries
Experience working with structured and semi-structured business data
Familiarity with NLP toolkits, embedding techniques, and text-processing pipelines
Experience building and maintaining large-scale ETL or data-processing systems
Exposure to enterprise tools like schedulers, monitoring systems, and authentication frameworks
Experience with automated testing frameworks for data pipelines and APIs
Benefits
Discretionary performance bonus
Comprehensive benefits package
Company
Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989, which manages $83.5 billion in assets.
5001-10000 employees
H1B Sponsorship
Millennium has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (264)
2024 (146)
2023 (156)
2022 (146)
2021 (73)
2020 (86)
Funding
Current Stage
Late StageLeadership Team
Ajay Nagpal
President and Chief Operating Officer
Hunter Merghart
COO, Digital Assets
Recent News
2026-01-09
2025-12-26
2025-12-19
Company data provided by crunchbase