Technical Project Manager
hace 6 días
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 initially a Fixed Term Contract until the end of June 2026 - Hybrid from a new site in Zaragoza***
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.
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