Lead cross-functional teams to deliver AI and LLM solutions for top clients. Manage the full lifecycle of advanced ML projects, from planning to deployment. Requires strong technical leadership and experience in ML/AI project delivery.
Key Highlights
Technical Skills Required
Benefits & Perks
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!**
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.
- 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.
- 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); comfortable discussing technical tradeoffs.
- Experience with agile/scrum methodologies in software or ML-focused teams.
- Working proficiency in English; Spanish is a plus.
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