About the role: We are seeking an analytical and innovative Senior Machine Learning Analyst to join our Data & AI team. You will play a key role in developing and deploying advanced machine learning models to solve real-world business challenges. Your efforts will help optimize data pipelines, extract actionable insights, and shape the future of intelligent solutions at AvePoint.
Key responsibilities: - Solution Design: Design, build, and deploy machine learning models leveraging structured and unstructured data that align with the overall SaaS product strategy. Collaborate with stakeholders to understand business requirements and translate them into AI-based functionalities. Drive holistic end-to-end AI architecture from data pipeline to LLM to platform components to application integration.
- System Integration: Architect the integration of AI components into the existing SaaS infrastructure, ensuring scalability, reliability, and optimal performance. Collaborate with development teams to implement these integrations effectively.
- Data Management: Design data pipelines and storage solutions for handling large volumes of data required for AI models. Ensure data security, privacy, and compliance with relevant regulations.
- Scalability and Performance Optimization: Architect solutions that can scale horizontally to handle growing user bases. Create and optimize AI algorithms and workflows for speed, efficiency, and resource utilization.
- Security and Compliance: Implement security measures to safeguard AI models and data. Ensure compliance with relevant industry standards and regulations. Develop guidance for the use of AI in product and internal tooling.
- Execution & Adoption Ownership: Proactively identify and remove barriers to execution across data, engineering, and product workflows to ensure timely delivery of AI solutions. Serve as a steward of adoption by partnering with product, engineering, and go-to-market teams to ensure solutions are usable, measurable, and successfully adopted by end users and customers.
The ideal candidate has: - 5+ years of experience working as an engineer or architect with a focus on one or more of the following: machine learning, data science or natural language processing
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- Preferably worked on enriching SaaS products with AI/ML functionalities
- Strong proficiency in AI technologies, machine learning, and deep learning frameworks.
- Previous experience determining measurable, revenue generating or business solving outcomes and showing how AI can drive these.
- Strategic thinking skills including the ability to lead and resolve company-wide technical discussions. Excellence at creating clarity and alignment for technical initiatives, in close partnership with our product management team.
- Great ability to build trust through collaboration with multiple teams, articulate a vision, build consensus, and get hands-on to drive implementation.
Benefits We Offer - Competitive market-based compensation (salary, yearly bonus + equity).
- Career progression and internal mobility opportunities.
- Work-life balance through a hybrid working model.
- Unlimited PTO.
This role offers the opportunity to work at the intersection of machine learning innovation and industry impact, contributing to AvePoint's vision for secure, intelligent, and data-driven workplaces.
If you are passionate about transforming data into actionable solutions and want to be part of a global tech leader, we want to hear from you!
The Salary Range for this role is $190,000 - $220,000. At AvePoint, we strive to offer competitive, fair, and equitable total rewards. The listed salary range represents a good faith estimate, with final offers based on location, experience, skills, and qualifications. The listed range reflects base salary only; our total rewards include base salary, comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses, commissions, or equity (RSUs). We welcome compensation discussions-apply even if your expectations fall outside the range.
