MLOps Engineer Intern

Multiverse Computing

Multiverse 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:

• CompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems—such as language models—to make them significantly more efficient and portable.
• Singularity is a quantum- and quantum-inspired optimization platform used by blue-chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware.

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.

This is a Mitacs internship program and as a MLOps Engineer Intern, you will

• Help deploy our software stack to Fortune 500 clients’ servers.
• Participate in the design of Multiverse’s toolbox interface.
• Assist in deploying ML and LLM models to production environments.
• Help design and support pipelines for data preprocessing, model training, and deployment
• Work with automation tools like GitOps, CI/CD, Docker, and Kubernetes to support scalable ML workflows.
• Collaborate with DevOps and Product teams to optimize model deployment and infrastructure
• Assist in managing cloud resources (Azure/AWS) used for ML/LLM tasks.
• Stay up to date with trends in MLOps, LLMOps, and generative AI tools.

Required Qualifications

• Pursuing or recently completed a Bachelor’s or Master’s in Computer Science, Engineering, or related field.
• Strong interest in MLOps, LLMs, or generative AI technologies.
• Some hands-on experience (via coursework or projects) with ML/AI model deployment, versioning, or monitoring.
• Familiarity with Python and basic knowledge of ML libraries like PyTorch, TensorFlow, or scikit-learn.
• Exposure to Docker and cloud platforms like Azure or AWS is a plus.
• Good communication and problem-solving skills.
• Fluent in English;

Perks & Benefits

• 8 months internship contract with chance to extend for 4 months.

• Relocation package (if applicable, it will be included in the offer).

• Hybrid work policy with 3 days in office and 2 days home. 

• 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.