We are looking to fill this role immediately and are reviewing applications daily. Expect a fast, transparent process with quick feedback.

Why join us?

We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%.
Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a “quantum-AI unicorn in the making.”

We offer:

• Competitive annual salary starting from €60,000, based on experience and qualifications.

• Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion.

• Relocation package (if applicable).

• Fixed-term contract ending in June 2026.

• Hybrid role and flexible working hours.

• Be part of a fast-scaling Series B company at the forefront of deep tech.

• Equal pay guaranteed.

• International exposure in a multicultural, cutting-edge environment.

Required qualifications

• 6+ years of proven experience as a Solutions Architect, ML Engineer, or similar role delivering AI/ML projects at scale.
• Solid understanding of AI/ML concepts: supervised and unsupervised learning, LLMs, NLP, computer vision, and model lifecycle management.
• Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders.
• Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML, Amazon Bedrock and Azure AI Foundry).
• Experience designing data architectures (batch & streaming) and working with big data technologies.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• Traveling: Must be available to travel as needed for meetings, conferences, and project requirements.
• Languages: proficient in English

Preferred Qualifications

• Experience with AI model optimization, quantization, or deployment to edge. 

• Knowledge of data privacy and ethical considerations in AI.

• Hands-on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face)
  
• Experience developing computer vision models, covering data collection, augmentation, training of deep learning models (e.g., CNNs, ViTs) for detection and segmentation tasks, and deploying optimized solutions to edge platforms (e.g. TensorRT, quantization)
  
• Direct experience with embedded systems, including low-level electronics programming for PLC, FPGAs or GPU architectures, combined with a working knowledge of AI model deployment and optimization.
  
• Familiarity with MLOps tools and practices: CI/CD, monitoring, orchestration frameworks (e.g., Kubeflow, Flyte, MLflow, Kubernetes, Docker)

• Languages: Spanish

As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.