Head of Machine Learning

📋 Description

• • Pragmatike Soluciones Tecnológicas S.L. is seeking an exceptional Head of Machine Learning on behalf of a rapidly scaling, AI-powered cybersecurity company. This innovative startup, backed by premier AI leaders and top-tier investors, is at the forefront of developing the essential security layer for the AI era. Their mission is to safeguard enterprises against sophisticated AI-driven threats, including deepfakes, smishing attacks, and synthetic voice manipulation, addressing a critical and growing market need.
• • Fresh off a significant Series B funding round, the company is poised for aggressive growth and expansion. Their cutting-edge solutions are already trusted by prominent financial institutions, leading technology firms, and major healthcare organizations, validating their product-market fit and the immense potential within a $200 billion+ market opportunity.
• • This pivotal role is designed for a visionary leader who will architect and establish the company's machine learning capabilities from the ground up. Machine learning is not merely an add-on; it is the core engine driving the product's value proposition. This is a unique opportunity to move beyond incremental improvements and take full ownership of the ML strategy, infrastructure, and execution across the entire organization.
• • Currently, the company lacks a dedicated ML infrastructure and team. As the Head of Machine Learning, you will be instrumental in laying these foundational elements. Your responsibilities will encompass identifying key areas where ML can deliver maximum product value, designing robust, end-to-end production ML systems, and setting the definitive technical roadmap for the evolution of ML within the company.
• • This is a high-impact, highly autonomous position, ideal for an experienced professional who has a proven track record of building and deploying ML systems in production environments. You will be empowered to architect an ML function that can scale effectively from its nascent stages to a mature, enterprise-ready operation.
• • **Key Responsibilities:**
• • **Strategic ML Vision:** Define and articulate the overarching machine learning strategy for the company. This includes identifying strategic applications of ML across existing and future products, determining the necessary infrastructure requirements, and making critical build-versus-buy decisions for ML technologies and platforms.
• • **End-to-End ML System Design & Build:** Architect, design, and implement robust, production-grade ML systems. This encompasses the entire lifecycle, from developing scalable data pipelines and efficient model training workflows to establishing comprehensive evaluation frameworks and deploying models for real-time inference serving.
• • **Rigorous Model Evaluation & Iteration:** Establish and implement a stringent methodology for evaluating model performance, detecting performance regressions, and fostering a data-driven culture that supports continuous iteration and improvement of ML models.
• • **Data Strategy & Feedback Loops:** Own and define the company's data strategy concerning ML. This involves identifying critical data requirements, establishing effective data labeling processes, structuring feedback loops for continuous model learning, and ensuring models adapt and improve over time based on real-world performance and new data.
• • **Cross-Functional Collaboration:** Forge strong partnerships with product management and backend engineering teams to seamlessly integrate ML capabilities into customer-facing products and services, ensuring alignment with business objectives and user needs.
• • **Production Code & Architecture:** Write high-quality, production-ready code within the existing technology stack and actively contribute to key architectural decisions, ensuring the scalability, reliability, and maintainability of ML components.
• • **Team Leadership & Growth:** As the ML function matures, play a key role in recruiting, mentoring, and leading a high-performing team of machine learning engineers, fostering a culture of technical excellence and innovation.
• • This role offers a unique chance to shape the future of AI cybersecurity by building the core intelligence that protects against emerging threats. You will operate with significant autonomy, driving innovation and directly impacting the company's trajectory in a dynamic and high-growth market.