Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.
• 3+ years of experience in MLOps, Machine Learning Engineering, or 5+ years of DevOps roles supporting ML systems.
• Ability to translate business goals into MLOps strategy, aligning technical initiatives with product and research needs.
• Strong project management skills, including sprint planning, roadmap creation, and cross-functional coordination.
• Proven ability to build and scale high-performing MLOps teams, fostering collaboration, innovation, and continuous improvement.
• Excellent written and verbal communication skills with both technical and non-technical stakeholders.
• Strong proficiency with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Helm).
• Proven experience managing CI/CD pipelines for ML workflows using tools such as GitLab CI/CD, Jenkins, or Argo Workflows.
• Expertise in infrastructure as code (IaC) using Terraform or CloudFormation.
• Deep understanding of model deployment, monitoring, and scaling in production environments.
• Hands-on experience with ML workflow orchestration tools (e.g., Flyte, Kubeflow, Airflow, MLflow).
• Solid foundation in GitOps principles and model registry management.
• Experience with observability and monitoring tools (Prometheus, Grafana, OpenTelemetry, etc.).

Preferred Qualifications

• Experience managing teams of MLOps or ML engineers in a production environment.
• Familiarity with GPU workload orchestration and performance optimization (e.g., vLLM, Ray, Triton Inference Server).
• Background in data governance, compliance, and security best practices for ML systems.
• Working knowledge of LLM deployment and optimization workflows, including quantization, fine-tuning, and model compression.
• Experience integrating model usage metering (e.g., OpenMeter) and API management (e.g., Kong).
• Contributions to open-source MLOps or DevOps frameworks.
• Advanced degree (MS/PhD) in a relevant field is a plus.

About Multiverse Computing Founded in 2019, we are a well-funded, fast-growing deep-tech company with a team of 180+ employees worldwide. Recognized by CB Insights (2023 & 2025) as one of the Top 100 most promising AI companies globally , we are also the largest quantum software company in the EU.

Our flagship products address critical industry needs:

• CompactifAI → a groundbreaking compression tool for foundational AI models, reducing their size by up to 95% while maintaining accuracy, enabling portability across devices from cloud to mobile and beyond.
• Singularity → a quantum and quantum-inspired optimization platform used by blue-chip companies in finance, energy, and manufacturing to solve complex challenges with immediate performance gains.

You’ll be working alongside world-leading experts in quantum computing and AI, developing solutions that deliver real-world impact for global clients. We are committed to an inclusive, ethics-driven culture that values sustainability, diversity, and collaboration — a place where passionate people can grow and thrive. Come and join us!

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. Come and join our multicultural team!

5 locations

+27 languages