MLOps Engineer

About 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.

Position

As a MLOps Engineer, you will

• Responsible for designing, overseeing and managing end to end machine learning workflow

• Develop and implement an MLOps strategy for the organization

• Work with development and operations teams to automate Machine Learning product delivery processes

• Identify and implement tools and processes to improve data engineering, experiment tracking, model deployment and monitoring for machine learning projects

• Actively seek solutions to customer needs, communicate trends to leadership, and suggest innovative solutions on behalf of the customer experience

• Help deploy our machine learning models to Fortune 500 clients’ servers

• 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

Your qualification

• Bachelor’s degree in Computer Engineering, Computer Science, or related field

• Alternatively, significant work experience as a Machine Learning Engineer

• 5+ years of combined experience working as a Machine Learning Engineer and a Data Engineer

• Strong programming background with Python

• Solid understanding and knowledge of Data Engineering best practices. Hands-on experience required in CI/CD setup for Machine Learning Projects

• Strong experience with AWS Services - Sagemaker, AI/ML stack, S3, Lambda, AWS Service APIs, Redshift, Glue, Athena, etc

• Experience with AI/ML automation platforms like AWS SageMaker Pipeline, Airflow, Kubeflow, etc

• Experience and creativity to design, architect, implement and test complex Infrastructure solutions for machine learning projects

• Experience managing machine learning models such as LLMs, CNNs and RNNs from development to deployment

• Good communication skills, a great personality, and a love for working collaboratively

Preferred Qualifications

• Experience with distributed training/hyperparameter tuning

• Experience monitoring and evaluating performance of deployed models

• Experience working with different public cloud providers and hybrid environments

• Experience in real-time streaming applications

What we offer

• 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