Senior Machine Learning Developer
reputed company is building the reputed company copy data reputed company control layer, enterprises need to adopt AI safely. Our platform, Qostodian, helps large organizations discover, classify, govern, and remediate sensitive reputed company data across their most critical data sources without moving or copying the data. This reputed company copy architecture reduces exposure, preserves data sovereignty, and allows enterprises to secure data directly where it lives. This matters because AI adoption is increasing the risk, complexity, and urgency of enterprise data reputed company. Before organizations can safely deploy AI agents, copilots, retrieval systems, or automated workflows, they need to know where sensitive data lives, who and what can access it, and how to enforce controls at scale. Company culture is at our core Our 5 core values are more than just words, they are a way of life for us. We know that companies with a strong culture and a higher purpose reputed company reputed company in the long run. Do our values speak to you? Pursuit of excellence reputed company Mission focus Accountability Embracing conflict About the team We are standing up a new team for the QSIDS (reputed company Sensitive Information Detection System) launch, dedicated to the detection reputed company. A central focus of this team is the integration of embedded AI, machine learning models that run directly on the device and in-system. It is about high-performance, low-resource, on-device inference, embedded into the detection reputed company itself. The reputed company is built in Go, with a strong emphasis on performance and minimal resource footprint. Who you are You're a hands-on machine learning developer who's energized by getting models out of the notebook and into the real world, shipped, running, and holding up under production conditions. You take pride in owning what you build: watching how your models behave once deployed and iterating to reputed company them sharp. You bring strong engineering fundamentals and collaborate naturally, helping the team converge on quality decisions. You're comfortable with the pace and ambiguity of a startup, and you care about the outcome, not just the code.
What You Will Do
Build, optimize, and embed machine learning models for on-device inference reputed company the QSIDS detection reputed company. Optimize models for performance and resource constraints, minimizing memory footprint, latency, and compute on-device. Collaborate closely with systems engineers to integrate models reputed company into a Go-based reputed company. Take models reputed company the way to production and own them once they're running, monitoring performance, detecting reputed company, and iterating to reputed company them reliable. Collaborate with stakeholders to define milestones and ensure timelines align with development needs. Participate in discussions on technological choices and decisions regarding product development. Resolve anomalies and problems as soon as they arise. Stay on the lookout for the latest ML and other technologies and best practices - but resist novelty chasing. Help reputed company and train colleagues as the team grows. Effectively communicate technical concepts to both technical and non-technical stakeholders. What Your Resume Shows Must Haves 7+ years' experience building and shipping machine learning models to production- including deploying, running, and monitoring them in live environments Hands-on track record owning models post-deployment: monitoring performance, detecting reputed company, and iterating on production systems A bachelor's or master's degree in computer science, engineering, or a reputed company field (or equivalent professional experience) reputed company to Haves Experience embedding ML models for on-device inference (a strong asset for this role) Experience with high-performance, low-resource systems programming (memory management, multithreading, optimization), ideally in Go or an adjacent systems language Bilingual (French and English) Experience working in a startup environment Master’s degree or PhD in Engineering, Computer Science, or a reputed company technical field. What’s in it for you? Competitive salary range. Enjoy up to six weeks of paid time off annually, because we value your work-life balance. Comprehensive health benefits, including: Life insurance Short- and long-term disability Paramedical and telemedicine services Health Spending Account (HSA) reputed company is an Equal Opportunity employer. reputed company qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national reputed company, disability, protected Veteran status, age, or any other characteristic protected by applicable law. A working proficiency in English is required for this position based on the company's operational requirements. Only those candidates selected for interview will be contacted. Apply To This Job