IT Project Manager/ hibrido
Role details
Job location
Tech stack
Job description
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. This is a Permanent position, with Hybrid working alongside the team at their site in San Sebastian, Spain. Visa Sponsorship can be supported! 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. Foster a culture of collaboration and continuous improvement, working
Requirements
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. Master's degree in Computer Science, Data Science, Physics, Engineering, or a related field. ~ Prior experience as a ML/AI Manager, Data Science Manager, AI tech lead, Senior ML Engineer or similar ~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); Experience with agile/scrum methodologies in software or ML-focused teams. ~ 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.