Senior Machine Learning Engineer at Itaú, driving innovation with data and AI solutions. Collaborating across teams to implement robust machine learning architectures and ensure scalable deployments.
About the role
- Staff ML Engineer developing GenAI infrastructure at Zendesk. Leading design and optimization of ML platforms while fostering technical excellence and collaboration.
Responsibilities
- 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 cost-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.
Requirements
- 7+ years of hands-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, GenAI 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 server-side programming language and the testing frameworks (Python, Java, Scala, Golang, Ruby).
- Sound understanding of architecture and software design patterns for server-side domains.
- Experience owning the full lifecycle of ML/AI platform components from early design to production deployment.
Benefits
- Full ownership of the projects you work on.
- Team of passionate people who love what they do.
- Exciting projects, ability to implement your own ideas and improvements.
- Opportunity to learn and grow.
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Machine Learning Engineer responsible for developing and deploying advanced ML and AI solutions at Zendesk. Collaborating with stakeholders to deliver impactful business outcomes using latest machine learning technologies.
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