Senior Machine Learning Engineer for Toyota Connected developing state - of - the - art solutions for in - vehicle Voice Assistants. Collaborating with teams and mentoring junior members to drive innovation in machine learning technology.
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
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