Group Lead ML Infrastructure
Engelstalig
Over de functie
Pinely is looking for a Group Lead ML Infrastructure to build and manage the internal ML platform in Amsterdam. This role combines hands-on development with team leadership, driving the performance of large-scale model training.
Wat ga je doen
- Develop internal ML platform including training framework, data pipelines, orchestration, experiment tracking, and release tooling
- Manage end-to-end performance of large-scale model training such as GPU utilization and training time
- Set technical agenda by identifying bottlenecks and prioritizing improvements
- Lead engineers with diverse profiles including hiring and mentoring
- Contribute directly to the ML platform code
- Collaborate with DL researchers on shared code and debugging
Wat je meebrengt
- Experience in technical leadership of teams building ML platforms
- Strong background in large-scale ML training systems, GPU performance engineering, distributed training, or data pipeline infrastructure
- Hands-on experience accelerating ML research in production or research settings
- Strong sense of ownership over code quality and reproducibility
- Ability to sustain pace while fostering team culture
- Ability to work at the DL/infrastructure boundary
Wat je krijgt
- Dynamic and international environment
- Salary at upper end of market with significant bonuses twice a year
- Freedom to shape internal culture
- Health insurance and sports expense reimbursement
- Coverage for language courses
- Supportive and experienced team
Samenvatting door Personeel.com. De volledige vacaturetekst en het sollicitatieformulier staan op de website van Pinely (apply.workable.com); met Solliciteer ga je er direct heen.
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