Technical Project Manager (AI / Machine Learning / LLM) - Hybrid
3 days ago
Zaragoza
Technical Project Manager A fantastic opportunity for a skilled Technical Lead to join a Quantum Industry Leader, overseeing the management of projects within their AI and LLM Services department. Responsibilities Lead cross-functional teams of engineers and machine learning practitioners to deliver impactful LLM and AI solutions for top-tier industry clients. Drive the full project lifecycle for advanced ML projects: from scoping and planning to deployment, ensuring successful, timely, and high-quality delivery. Translate complex business requirements into actionable technical plans and roadmaps tailored to machine learning and LLM-based initiatives. Oversee project progress, resource allocation, and milestone achievement, making data-driven adjustments and risk mitigations as needed. Facilitate solution design discussions and ensure technical feasibility of LLM/ML approaches, collaborating closely with research and product stakeholders. Proactively resolve blockers, manage team dependencies, and champion best engineering practices for scalable AI systems. Prepare and track project KPIs, ensuring a transparent view of status, risks, and deliverables to leadership and client stakeholders. Foster a culture of collaboration and continuous improvement, working with other project managers to align on cross-team initiatives for LLM/ML excellence. Communicate technical ideas and project status clearly across engineering and non-technical leadership, tailoring detail as required. Required Qualifications Master’s degree in Computer Science, Data Science, Physics, Engineering, or a related field. 4+ years’ experience delivering ML or data-driven software projects in industry, including planning, execution, and delivery. 2+ years’ experience managing end-to-end engineering projects; experience specifically with LLMs or NLP projects is a strong plus. Hands-on familiarity with contemporary ML and software engineering tools (Python, git, Docker); comfortable discussing technical tradeoffs. Experience with agile/scrum methodologies in software or ML-focused teams. Good communication and stakeholder management abilities, including with non-technical audiences. Working proficiency in English; Spanish is a plus. By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ().