Responsibilities
- Enhance and support scalable ML and AI systems using Kubeflow, Feast, and Spark-on-Kubernetes to meet growing technical demands.
- Develop internal tools, APIs, and abstractions that enable teams to independently manage full ML lifecycles.
- Work with data science teams to implement software engineering standards like version control, testing, and CI/CD in machine learning workflows.
- Lead MLOps and LLMOps practices by creating frameworks that streamline the transition from experimentation to production.
- Collaborate with infrastructure and data teams to integrate ML components into enterprise data governance, cataloging, and privacy systems.
- Promote a culture of personal wellbeing by modeling healthy work habits and supporting team members in maintaining work-life balance.
Work Arrangement
Remote within Brazil
Other
- This position is remote and based in Brazil.
- Applicants must reside in Brazil.
- Flexible work model offering both hybrid and remote work options.
- Reimbursement available for home office setup.
- Work schedules are set collaboratively between employees and managers.
- Vacation eligibility begins after six months of employment.
- Employees receive one additional day off per year of service, up to five days, plus a birthday holiday.
- All new parents are granted fully paid parental leave.
- Extended leave and gradual return-to-work options are available for birth parents.
- Employer is certified for fair pay by Syndio.
