Descripción de la oferta
Job Location: As a TPM initially you can start working from Madrid or Barcelona until June 2026 and eventually relocate to San Sebastian. Mode: Hybrid, 3 days from the office, 2 days remote. About the client: Well‑funded and fast‑growing deep‑tech company founded in 2019. We are the biggest Quantum Software company in the EU. We are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international. About the role: We are seeking an experienced Technical Project Manager (TPM) with a strong managerial background and proven people‑management skills, coupled with a technical background. This role blends technical leadership, project execution, and team management in a fast‑paced, delivery‑focused environment. Key Responsibilities People Management: Manage a team of 4–6 ML/AI engineers, providing mentorship, career development, and performance evaluations with 1:1s. Project Management: Oversee 4–5 concurrent engineering projects, project planning, documentation, stakeholder management, and work with cross‑functional teams. Drive day‑to‑day task management, status updates, weekly reviews, and stand‑up meetings. Contribute 10–20% hands‑on coding, primarily in Python, to stay close to the technology and assist with complex problem‑solving. Desired Experience: Prior experience as an ML/AI Manager, Data Science Manager, AI tech lead, Senior ML Engineer, directly involved in designing, developing, and delivering AI/ML projects. Good technical background with familiarity in AI/ML and LLM toolkits, including PyTorch, TensorFlow, LangChain, LLaMA, and related libraries. Per‑project responsibilities in AI and LLM Services Department: 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. Preferred Qualifications PhD in a relevant technical discipline. Experience directly managing LLM, NLP, or generative AI projects. Familiarity with cloud ML workflows (AWS, GCP, Azure). Exposure to quantum/quantum‑inspired technologies or advanced model compression techniques. Perks & 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. Career plan: opportunity to learn and teach. Progressive company; happy people culture. #J-18808-Ljbffr
