Multiverse Computing delivers quantum AI software that helps enterprises solve optimization, risk, and simulation problems in finance, energy, and manufacturing. The company offers SaaS products…
Multiverse Computing delivers quantum AI software that helps enterprises solve optimization, risk, and simulation problems in finance, energy, and manufacturing. The company offers SaaS products…
High compute and energy costs of large AI models; complex optimization problems across industries.
Founded
2019
Industry
Software Development
Funding Track Record
Seed
€10,000,000
Series A- March 2024
€25,000,000
Series B- June 12, 2025
€189,000,000
Raised to scale CompactifAI LLM compression technology
Founders
What we do
Join the Team
MLOps/LLMOps Engineer
On-SiteBarcelona, ES
On-Site • Barcelona, ES
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Who you are
Bachelor's or master's degree in computer science, Engineering, or a related field
1+ years of experience as an ML/LLM engineer in public cloud platforms
Proven experience in MLOps, LLMOps, or related roles, with hands-on experience in managing machine/deep learning and large language model pipelines from development to deployment and monitoring
Experience in cloud platforms (e.g., AWS, Azure) for ML workloads, MLOps, DevOps, or Data Engineering
Knowledge in model parallelism in model training and serving, and data parallelism/hyperparameter tuning
Proficiency in programming languages such as Python, distributed computing tools such as Ray, model parallelism frameworks such as DeepSpeed, Fully Sharded Data Parallel (FSDP), or Megatron LM
Knowledge in with generative AI applications and domains, including content creation, data augmentation, and style transfer
Strong understanding of Generative AI architectures and methods, such as chunking, vectorization, context-based retrieval and search, and working with Large Language Models like OpenAI GPT 3.5/4.0, Llama2, Llama3, Mistral, etc
Experience with Perfect English, Spanish is a plus
Great communication skills and a passion for working collaboratively in an international environment
What the job involves
The application process
We are looking to fill this role immediately and are reviewing applications daily. Expect a fast, transparent process with quick feedback
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Fixed-term contract ending in June 2026
Deploy cutting-edge ML/LLMs models to Fortune Global 500 clients
Join a world-class team of Quantum experts with an extensive track record in both academia and industry
Collaborate with the founding team in a fast-paced startup environment
Design, develop, and implement Machine Learning (ML) and Large Language Model (LLM) pipelines, encompassing data acquisition, preprocessing, model training and tuning, deployment, and monitoring
Employ automation tools such as GitOps, CI/CD pipelines, and containerization technologies (Docker, Kubernetes) to enhance ML/LLM processes throughout the Large Language Model lifecycle
Establish and maintain comprehensive monitoring and alerting systems to track Large Language Model performance, detect data drift, and monitor key metrics, proactively addressing any issues
Conduct truth analysis to evaluate the accuracy and effectiveness of Large Language Model outputs against known, accurate data
Collaborate closely with Product and DevOps teams and Generative AI researchers to optimize model performance and resource utilization
Manage and maintain cloud infrastructure (e.g., AWS, Azure) for Large Language Model workloads, ensuring both cost-efficiency and scalability
Stay updated with the latest developments in ML/LLM Ops, integrating these advancements into generative AI platforms and processes
Communicate effectively with both technical and non-technical stakeholders, providing updates on Large Language Model performance and status
