Engineering Manager AI / ML

SABIA Personal; Donostia/San Sebastián; Híbrido; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid opportunity

Private health insurance

Career development plan

Visa sponsorship where applicable

Descripción de la vacante

SABIA Personal is seeking a Manager with a strong technical background in data science or AI to lead the design, implementation, and production deployment of ML, vision, or Generative AI systems. You will collaborate with cross-functional teams to integrate models into products and drive challenging projects forward.

You will guide international engineering teams, define technical direction, manage end-to-end projects, and contribute to the company’s tech strategy while maintaining strong client

Formación

• Master's or Ph.D. in AI, CS, DS, Physics, Engineering or related field.
• 5+ years of industry experience in AI/data science.
• 2+ years in project management leading engineering teams.
• 3+ years in hands-on data science/AI in production.
• Experience deploying ML/AI systems in cloud environments.
• Proficient in Python, Docker and Git.
• Strong leadership, communication and stakeholder management.
• Fluent in Spanish and English.

Responsabilidades

• Lead international engineering teams to deliver AI solutions for top clients.
• Define technical direction and ensure quality of approaches and tech used.
• Manage projects from initiation to completion with clear scope and deliverables.
• Develop project plans with timelines, resources and risks.
• Identify risks and develop contingency plans to maintain momentum.
• Foster collaboration and effective communication with stakeholders and leadership.
• Contribute to tech strategy and provide client-facing insights.

Conocimientos

Data science

Machine learning

Python

Docker

Git

Leadership

Communication

Educación

Master's or PhD in AI/CS/DS/Physics/Engineering

Herramientas

GitHub

GitLab

Cloud platforms

Descripción del empleo

Our client is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. They are the largest quantum software company in the EU, with 250+ employees worldwide and growing, delivering advanced solutions trusted by leading global enterprises across several critical industries, including finance, energy, manufacturing, telecom, and industrial sectors.

Job Overview

We are seeking a skilled and experienced Manager with a strong technical background in data science or AI to join their team. In this role you will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and deployment in production environments of machine learning, vision, or Generative AI systems, as well as working closely with cross-functional teams to integrate these models into our products. You will have the opportunity to work on challenging projects, contribute to cutting-edge research, and shape the future of AI technologies.

Required Qualifications:

• Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, Physics, Engineering, or related fields, with 5+ years of relevant industry experience.
• 2+ years of successful project management experience in leading and managing engineering teams in a technology-driven company.
• 3+ years of hands-on experience with data science, Generative AI, deep learning (e.g., computer vision, LLMs, etc.), or software engineering technologies in an industrial, non-academic environment.
• Proven experience in the design and implementation of ML or AI systems, including RAG and Agentic AI solutions, and deploying them in cloud-based production environments.
• Proven experience with LLM models, including fine-tuning and alignment techniques to specialize them on different tasks, or pruning and other model compression techniques.
• Excellent command of Python, Docker and Git.
• Experience with GitHub/Gitlab workflows and functionalities.
• Solid understanding of agile development methodologies and best practices.
• Excellent leadership skills with the ability to motivate and guide cross-functional teams effectively.
• Exceptional communication and interpersonal abilities to foster collaboration and maintain strong client relationships.
• Solid organizational and time-management skills, coupled with a keen eye for detail.
• Perfect command of Spanish and English.

Preferred Qualifications:

• Ph.D. in Artificial Intelligence, Computer Science, Physics, Engineering, or related fields, with 5+ years of relevant industry experience.
• Experience with deep learning model compression techniques and inference optimization engines (TensorRT, vLLM, etc.).
• Experience in the evaluation of Generative AI systems on real live data.
• Indefinite contract.
• Signing bonus.
• They offer work visa sponsorship (if applicable).
• Relocation package (if applicable).
• Private health insurance.
• Eligibility for educational budget according to internal policy.
• Hybrid opportunity.
• Language classes and discounted lunch options.
• A high-performance, collaborative environment, operating at pace on cutting-edge technologies.
• Career plan. Opportunity to learn and teach.

As a Manager, you will

• Lead an international team of engineers to develop and deliver cutting-edge solutions to the hardest industry problems for our top-tier clients.
• Lead the technical direction of complex projects, designing a technical solution to the problem and ensuring the quality of the approach and technology used.
• Manage technical projects from initiation to completion, defining the project scope, objectives, and deliverables. To achieve this, you will:
• Develop comprehensive project plans, including timelines, resource allocation, and risk assessments.
• Identify and manage project risks, developing contingency plans to address unforeseen obstacles and maintain project momentum.
• Lead and motivate a diverse team of professionals, providing guidance and direction to ensure project goals are met efficiently and effectively, fostering a collaborative and results-driven team environment.
• Monitor project performance and take proactive measures to ensure the delivery of high-quality solutions.
• Develop documentation, monitor and report project status, assess the effectiveness and accuracy of documentation.
• Foster clear and transparent communication channels with stakeholders, team members, and senior management to provide updates on project status, milestones, and potential challenges.
• Collaborate and communicate with other project managers and leaders to coordinate cross-project initiatives and activities.
• Demonstrate an understanding of customer's tactical goals and effectively participates in the development and implementation of business solutions.
• Contribute to the tech strategy providing clients and technology insights