Machine Learning Engineer

We bring together leading minds in communications technology to unify the telecom industry with simplicity, scalability, and efficiency.

This is more than a job—it’s a chance to revolutionize global connectivity.

Aduna, founded by global leaders, opens mobile networks worldwide to developers, fueling innovation and a programmable ecosystem.

We are a scale‑up : agile, fast, and collaborative. Our breakthroughs impact people, businesses, and societies worldwide.

Ready to create what’s next?

As an MLOps Engineer in Aduna’s Cortex team , you’ll design and own the pipelines, infrastructure, and processes that bring AI models from research to secure, scalable production. You’ll work closely with the Head of AI & Innovation in a lean team where decisions move quickly. If you want to shape AI infrastructure powering mission‑critical applications in automation, secure networks, and large‑scale platforms, this is your role.

Responsibilities

• Design, build, and maintain scalable MLOps pipelines across software, network security, and operational AI use cases .
• Implement automated CI / CD for training, evaluation, deployment, and rollback of ML models.
• Develop robust monitoring for drift, performance, latency, and data quality (Grafana, Prometheus).
• Ensure compliance with security and privacy regulations (ISO GDPR, AI act readiness).
• Automate data prep, model training, evaluation, and retraining pipelines.
• Drive best practices for reproducibility, versioning, and governance.
• Continuously evaluate and integrate cutting‑edge tools and frameworks.

Cross‑Functional Collaboration

Must‑Have Qualifications

Nice‑to‑Have

Why Aduna?

Seniority level

Employment type

Job function

Industries

Aduna is committed to diversity and inclusion. We welcome applicants from all backgrounds passionate about driving the next wave of telecom innovation.

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