Engineering Manager – AI/ML

Location: San Sebastian, Spain - Hybrid

We are seeking a skilled and experienced Manager with a strong technical background in data science or AI. 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.

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.




- Collaborate and communicate with other project managers and leaders to coordinate cross-project initiatives and activities.
- Contribute to the tech strategy providing clients and technology insights

Required Minimum Qualifications

- Master's in Computer Science, Data Science, Physics, Engineering, or related fields, with 5+ years of relevant industry experience.
- Solid engineering foundations: Ideally 3+ years working as an engineer, with relevant experience in a technology company.
- External customer-delivery ownership: Personal accountability for managing expectations, scope, priorities, risks, commitments, and outcomes.
- Formal technical people management: Around 2+ years directly managing software engineers, data engineers/scientists, or AI professionals.
- Performance and career-development responsibility: Ownership of feedback, 1:1s, performance reviews, development plans, and underperformance management.
- Production-AI technical judgement: Enough depth to understand deployed AI systems, assess trade-offs and work effectively alongside a separate Tech Lead
- 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.
- Excellent leadership skills with the ability to motivate and guide cross-functional teams effectively.
- Perfect command of Spanish and English.

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📌 Engineering Manager – AI/ML - Hybrid (San Sebastián)
🏢 European Tech Recruit
📍 San Sebastián