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Tech Stack
Tools & technologiesDockerPython
About the role
Key responsibilities & impact- Develop scalable Python services and production-grade APIs
- Design, implement, and improve AI features using LLMs and modern ML techniques
- Build specialized edge models
- Create unique labeling strategies and coach labeling of data to support model building
- Take AI systems from concept and prototype to reliable, observable production deployments
- Collaborate closely with product, founders, and stakeholders to shape product direction
- Continuously improve system architecture, data pipelines, and ML/AI infrastructure
Requirements
What you’ll need- Curious technologist who enjoys understanding how things work and exploring new tools, approaches, and ideas
- Fast self-learner who enjoys dialog
- Strong software engineering fundamentals and ability to build reliable, maintainable, and extensible systems
- Experience taking ownership of defining problems, shipping solutions, measuring results, and iterating
- Strong communication and stakeholder collaboration skills
- Enjoys collaborating and mentoring
- Proven track record as a Python developer and ML engineer
- At least 7 years of professional software engineering experience
- Experience working with ML/AI systems in a production environment
- Native/fluent proficiency in English
- Expert command of Python and its ecosystem
- Expert command of key ML modeling frameworks and creation of specialized ML models
- Deep understanding of YOLO; previous use is a plus
- Strong background in Data Science
- Extensive experience with Large Language Models
- Proven expertise in Docker containerization and CI/CD pipelines
- Early-stage startup experience is a plus
Benefits
Comp & perks- Flexible remote work arrangement (Europe and the Americas only)
- Collaborative, innovation-focused environment
- Opportunity to shape the future of education