AI Infrastructure Engineer
2 weeks ago
MACHINE LEARNING OPERATIONS ENGINEER
COMPENSATION: $190,000 + Equity
LOCATION: NEW YORK, NY
WORK SCHEDULE: ON-SITE 5 DAYS/WEEK
Are you eager to contribute significantly to a rapidly expanding FinTech startup? Do you aspire to construct a state-of-the-art platform from inception? This ML Operations position could be the perfect fit for you.
ABOUT THE COMPANY
This innovative startup is poised to revolutionize the financial technology sector. They are in search of a Machine Learning Operations Engineer to develop their pioneering AI-driven accounting platform, architect their infrastructure from the ground up, and become a foundational member of their agile, efficient team.
ROLE OVERVIEW
The MLOps engineer will be integral to this 12-member team, tasked with the construction and upkeep of an AI platform where data precision is paramount.
Key Responsibilities:
- Designing a comprehensive data infrastructure platform from scratch and ensuring its long-term operational integrity, primarily utilizing Python.
- Creating and sustaining essential, fail-safe data pipelines.
- Structuring, scaling, and managing multiple data models that function collaboratively.
IDEAL CANDIDATE PROFILE
- Background in Machine Learning, particularly in infrastructure engineering projects.
- Experience and interest in accounting and financial data systems.
- Familiarity with the process of scaling a startup through various funding stages.
- High proficiency in Python programming.
- Proven track record of completing a significant data infrastructure project from start to finish.
- Comfortable in a dynamic, entrepreneurial setting.
BENEFITS OFFERED
- Annual salary of $190,000 based on experience.
- Competitive compensation, including bonuses and equity options.
- Comprehensive 401k, health, vision, and dental benefits.
- Opportunity to make a tangible impact within a rapidly growing organization.
APPLICATION PROCESS
To express your interest, please submit your CV through the application link provided.
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