Engineering Manager, AI / ML at MULTIVERSE COMPUTING

✨ The Stack take on this MULTIVERSE COMPUTING job

• 🏢 MULTIVERSE COMPUTING has 6 jobs here, 6 with visa sponsorship see all
• 🛂 Visa: Highly Qualified Professional permit. Education: Higher education degree guide
• 💡 No salary shown. Ask MULTIVERSE COMPUTING if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

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About the role

Responsibilities:
- Lead an international engineering team to design, implement, and deploy ML, vision, and generative AI systems to production.
- Define technical direction, architecture and best practices for complex AI projects (model training, compression, fine-tuning, inference optimization).
- Manage end-to-end project lifecycle: scope, timelines, resource allocation, risk mitigation, and delivery quality.
- Coordinate cross-functional work with product, research, QA, and DevOps to integrate models into products and pipelines.
- Mentor engineers, run technical reviews, promote code quality, reproducibility, and observability in ML systems.
- Drive deployment and scaling of models in cloud and edge environments, ensuring performance and cost-efficiency.

Requirements:
- Master’s or PhD in AI, Computer Science, or related field.
- 5+ years industry experience in AI/ML or data science and 2+ years in people/project management.
- Hands-on expertise with Python, containerization (Docker), CI/CD, Git, and cloud deployment patterns.
- Practical experience with LLMs, generative AI workflows (RAG, fine-tuning), model compression and inference optimization.
- Strong leadership, stakeholder communication, and project planning skills.
- Fluent in English (and Spanish as stated in original requirements) and able to work in a multicultural environment.

Responsibilities

Lead an international team of engineers to design, implement, and deploy AI, ML, and Generative AI systems into production environments. Manage the full project lifecycle from initiation to completion, ensuring technical quality and alignment with client business goals.

Requirements

Requires a Master's or PhD in AI, Computer Science, or a related field with 5+ years of industry experience and 2+ years of project management. Must have hands-on expertise in Python, LLMs, and deploying AI solutions in cloud environments, with fluency in both Spanish and English.

Key skills

• Project Management — in 40 other listings on The Stack
• Generative AI — in 58 other listings on The Stack
• Deep Learning — in 50 other listings on The Stack
• Python — in 1200 other listings on The Stack
• Docker — in 464 other listings on The Stack
• Git — in 217 other listings on The Stack
• RAG — in 41 other listings on The Stack
• Agentic AI — in 39 other listings on The Stack
• LLM Fine-tuning
• Model Compression
• Agile Methodologies
• Leadership
• Computer Vision
• Cloud Deployment
• Data Science
• Tensor Networks

On The Stack (as of 2026-11-05)

• MULTIVERSE COMPUTING has 5 other listings on The Stack, 5 of them marked as offering visa sponsorship.
• 76 visa-sponsored jobs in Spain on The Stack, posted in the last 60 days.
• 37 visa-sponsored engineering manager jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about MULTIVERSE COMPUTING

Is this Engineering Manager, AI / ML role still open?

It was posted on 2026-06-04. Listings more than 30 days old may no longer be active, so check MULTIVERSE COMPUTING's site before applying.

Does MULTIVERSE COMPUTING offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on MULTIVERSE COMPUTING's site.

Where is this role located?

The listing gives the location as Donostia, ES, Spain. It is marked on-site.

What skills does this role ask for?

The listing names: Project Management, Generative AI, Deep Learning, Python, Docker, Git, RAG, Agentic AI, LLM Fine-tuning, Model Compression, Agile Methodologies, Leadership, Computer Vision, Cloud Deployment, Data Science, Tensor Networks.