Staff ML Engineer Lisboa

Staff ML Engineer
Lisboa
Lisboa, Lisboa, Portugal

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Zendesk’s people have one goal in mind: to make Customer Experience better. Our products help more than 125, 000 global brands (Air
Bnb, Uber, Jet
Brains, Slack, among others) make their billions of customers happy, every day.

The AI/ML Platform team is at the forefront of this mission. We build the foundation that powers every AI-driven experience at Zendesk, enabling product teams to build, evaluate, and deploy
-
-
- art Large Language Model (LLM) applications reliably and at scale.

We're looking for a Staff ML Engineer to build the next wave of Gen
AI infrastructure at Zendesk. This includes our internal research platform, LLM Proxy, A/B Testing & Evaluation benchmarking, agentic workflow orchestration tools. You’ll empower Zendesk’s ML/AI teams by building secure,
- optimized, and
- friendly ML platforms that scale across use cases and products.

You’ll work closely with Engineering, Product, Architects, and Tech Leads to ensure the platform strategy is tightly aligned with company goals, while ensuring the delivery of robust, scalable, and
- ready systems.

What you get to do every day

Lead the design, rollout, and optimization of ML Platform components including model serving, feature management, training pipelines, and evaluation frameworks.

Own the design, rollout, and optimization of Zendesk’s LLM Proxy, enabling safe, observable, and
- efficient access to multiple foundation models.

Champion best practices around service resilience, observability, cost efficiency, and performance optimization.

Partner with stakeholders to ensure platform investments align with Zendesk’s AI/ML roadmap and business priorities.

Foster a culture of technical excellence, inclusion, and mentorship within the engineering team.

Foster a team culture that emphasizes mentorship, inclusion, and technical excellence.

What you bring to the role

7+ years of
- on experience developing and deploying ML models or Generative AI. Proven success in production deployments with a focus on scalability, reliability, and availability

Familiarity with MLOps best practices (CI/CD for ML, model monitoring, automated retraining pipelines).

Deep understanding of LLM systems, Gen
AI applications, or ML/AI platform components such as vector databases, serving layers, and orchestration tools.

Experience with provisioning and deploying services with a cloud provider (GCP, AWS, Azure).

Fluency in any
- side programming language and the testing frameworks (Python, Java, Scala, Golang, Ruby).

Sound understanding of architecture and software design patterns for
- side domains.

Experience owning the full lifecycle of ML/AI platform components from early design to production deployment.

Preferred Qualifications

Agentic and Automation: Experience with AI technologies in automating processes and developing agentic solutions and frameworks

Experience building tools that improve developer productivity and platform adoption across multiple teams.

What our tech stack looks like

Our code is written in Python.

Our servers live in AWS.

What we offer

Full ownership of the projects you work on.

What you will be doing will have a huge impact.

Team of passionate people who love what they do.

Exciting projects, ability to implement your own ideas and improvements.

Opportunity to learn and grow.

. . . and everything you need to be effective and maintain
- life balance

Comfortable office and a remote setup.

Choice of your laptop and other equipment.

Premium Medical Insurance as well as Private Life Assurance.

Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific
- office schedule is to be determined by the hiring manager.