Technical Project Manager in a hybrid role overseeing AI/ML projects, managing teams, and driving project success for a leading Quantum Software company in Spain.
Responsibilities
Manage a team of 4–6 ML/AI engineers, providing mentorship, career development, and performance evaluations.
Oversee 4–5 concurrent engineering projects, project planning, documentation, stakeholder management, work with cross-functional teams.
Drive day-to-day task management, status updates, weekly reviews, and stand-up meetings.
Contribute up to 20% - 10% hands-on coding, primarily in Python, to stay close to the technology and assist with complex problem-solving.
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.
Requirements
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.
Benefits
Indefinite contract.
Equal pay guaranteed.
Variable performance bonus.
Signing bonus.
Work visa sponsorship (If applicable).
Relocation package (if applicable).
Private health insurance.
Eligibility for educational budget according to internal policy.
Hybrid opportunity.
Flexible working hours.
Flexible remuneration: hospitality and public transportation.
Language classes and discounted lunch options.
Working in a high paced environment, working on cutting edge technologies.
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