Overview
Multiverse Computing is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world. With 180+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence. Our flagship products, CompactifAI and Singularity, address critical needs across various industries.
You’ll be working alongside world-leading experts to develop solutions that tackle real-world challenges. We’re looking for passionate individuals eager to grow in an ethics-driven environment that values sustainability and diversity. We’re committed to building a truly inclusive culture—come and join us.
Responsibilities
* Engage with customers, product teams, and engineers to design and deliver AI / ML solutions that solve real-world business challenges.
* Translate complex business requirements into architecture and design for AI models, and deployment strategies.
* Lead discovery sessions and technical discussions with clients to understand their data, systems, and AI maturity.
* Contribute to RFP / RFI submissions by coordinating response themes, response ownership, and co-creation of executive summaries alongside the rest of the account team.
* Technically contribute to customers PoCs and contracts.
* Define end-to-end solution architectures, including data ingestion, feature engineering, model training & serving and monitoring.
* Collaborate with software engineers, data scientists, and DevOps to ensure solutions are implemented as designed.
* Stay on top of the latest trends in AI, cloud, and edge computing to inform product and solution design.
* Function effectively in a fast-paced, high-energy market segment and successfully balance multiple projects (Sales opportunities, enterprise RFPs, SME programs, internal enablement, etc.).
* Manage model delivery to our customers and trials for potential customers.
Required qualifications
* 2+ years of proven experience as a pre-sales engineer, 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).
* Familiarity with MLOps tools and practices : CI / CD, monitoring, orchestration frameworks (e.g., Kubernetes, Docker, Flyte, MLflow).
* 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 Spanish & English
Preferred Qualifications
* Experience with AI model optimization, quantization, or deployment to edge devices.
* Experience with HPCs
* 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).
Perks & Benefits
* Indefinite contract.
* Equal pay guaranteed.
* Variable performance bonus.
* Signing bonus.
* We offer work visa sponsorship (If applicable).
* Relocation package (if applicable).
* Private health insurance.
* Eligibility for educational budget according to internal policy.
* Hybrid opportunity.
* Flexible working hours.
* Language classes and discounted lunch options
* Working in a high paced environment, working on cutting edge technologies.
* Career plan. Opportunity to learn and teach.
* Progressive Company. Happy people culture
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.
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