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ML Engineer II Job Opening In Lisbon – Now Hiring Zendesk


Job description

Job Description

Zendesk’s people have one goal in mind: to make Customer Experience better.

Our products help more than 125,000 global brands (AirBnb, Uber, JetBrains, 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 state-of-the-art Large Language Model (LLM) applications reliably and at scale.

We’re looking for an ML Engineer II to help design, implement, and improve core components of Zendesk’s GenAI infrastructure — from LLM Proxy and evaluation frameworks to orchestration tools for AI agents.

You’ll work alongside senior engineers and technical leads, contributing to systems that are safe, scalable, and developer-friendly.

This is a hands-on engineering role with significant growth potential, ideal for someone with solid ML engineering skills who wants to deepen expertise in LLM systems and GenAI infrastructure.

What you get to do every day

  • Contribute to the development of Zendesk’s LLM Proxy, enabling secure, cost-optimized access to multiple foundation models.

  • Help develop and maintain benchmarking and A/B testing frameworks for measuring LLM performance, latency, and cost.

  • Assist in building orchestration systems that enable multi-step, tool-using AI agents.

  • Work closely with applied ML, product, and platform teams to ensure infrastructure meets product needs.

  • Deliver well-tested, maintainable, and performant code ready for production deployment.

What you bring to the role

  • 2–4 years of hands-on experience developing and deploying ML systems or infrastructure.

  • Familiarity with LLM applications, vector databases, or ML/AI infrastructure components.

  • Exposure to AWS, GCP, or Azure; understanding of Kubernetes, Docker, or similar containerized environments.

  •  Proficiency in Python and familiarity with at least one other backend language (Java, Scala, Golang, or Ruby).

  • Understanding of CI/CD workflows, testing frameworks, and software design principles.

  • Ability to work effectively in cross-functional teams and take feedback constructively.

Preferred Qualifications

  • Experience building small-scale ML services or APIs.

  • Exposure to ML observability tools and evaluation frameworks.

  • Understanding of prompt engineering or fine-tuning workflows for LLMs.

What our tech stack looks like

  • Our code is written in Python.

  • Our servers live in AWS.

  • LLM Vendors: OpenAI, Anthropic, Google, Llama

  • Infra: Kubernetes, Docker, Kafka, 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 work-life balance

  • Flexible working hours.

  • Professional development funds.

  • Comfortable office and a remote setup.

  • Choice of your laptop and other equipment.

  • Premium Medical Insurance as well as Private Life Assurance.

#LI-KM7

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 in-office schedule is to be determined by the hiring manager.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your ML Engineer Potential: Insight & Career Growth Guide


Real-time ML Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for ML Engineer in Lisbon, Portugal, highlighting market share and opportunities for professionals in ML Engineer roles.

2788 Jobs in Portugal
2788
1066 Jobs in Lisbon
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Download Ml Engineer Jobs Trends in Lisbon and Portugal

Are You Looking for ML Engineer II Job?

Great news! is currently hiring and seeking a ML Engineer II to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Zendesk adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Portugal laws and regulations

What Is the Average Salary Range for ML Engineer II Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Lisbon. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for ML Engineer II?

Key qualifications for ML Engineer II typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for ML Engineer II?

To improve your chances of getting hired for ML Engineer II, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for ML Engineer II Job Success

Zendesk interview tips for ML Engineer II

Here are some tips to help you prepare for and ace your ML Engineer II job interview:

Before the Interview:

Research: Learn about the Zendesk's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your ML Engineer II interview at Zendesk, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Zendesk's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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