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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** AvePoint - **Location:** Jersey City, United States - **Experience:** Expert - **Salary:** $190,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Application Integration Architecture, Big Data, Software as a Service, Data Security, Machine Learning, Natural Language Processing, Performance Tuning, Systems Integration, Unstructured Data, Large Language Models, IT Architecture, Deep Learning, Information Technology, Data Management, Data Pipelines - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/senior-machine-learning-engineer-avepoint-8051097 ## About the Role * 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. ## Description We are seeking an analytical and innovative Senior Machine Learning Engineer 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., * 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Big Business, Big Barriers? Stress-Testing AI Initiatives.](https://www.wearedevelopers.com/videos/1022-big-business-big-barriers-stress-testing-ai-initiatives) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)