Responsibilities
- Architect scalable data infrastructure to support enterprise-level machine learning applications
- Transition machine learning models from research to production environments
- Work closely with data scientists and software developers to integrate ML solutions
- Build and maintain scalable tools for training and inference in ML workflows
- Assess emerging technologies to enhance system reliability and performance
- Integrate software engineering standards such as continuous integration and deployment into ML pipelines
- Support the creation and deployment of machine learning proof-of-concept projects
- Refactor, containerize, version, deploy, and monitor ML models with ongoing optimization
- Develop monitoring and alerting frameworks to maintain system health and performance
- Automate and streamline ML deployment processes for efficiency and consistency
- Partner with cross-functional groups to diagnose and fix deployment-related issues
- Keep current with advancements in the field and apply insights to improve systems
- Advocate for best practices and contribute to team knowledge development
Benefits
- Competitive pay package including health benefits, vacation, and sick leave
- Collaborate with a globally distributed team of high-caliber engineers on complex technical challenges
- Highly flexible remote work setup with financial support for home office equipment
- Access to local office or coworking spaces if desired
- No requirement for business travel
- Dynamic startup culture offering strong professional development opportunities
- Flexible hours with emphasis on results over schedule
Compensation
Competitive compensation with benefits, paid vacation, and sick leave
Work Arrangement
Remote (Worldwide)
Team
rapidly growing
Team
- Team size: rapidly growing
- Structure: consulting team
- Reports to: Team Lead
Other
- Work Schedule: Full time / Flexible working hours
- Reports to: Team Lead
- Member of: Engineering Team
- Remote 100%
- No business travel necessary
- Generous office equipment allowance for remote work
- Option to use coworking space near candidate