Machine Learning Product Engineer
Skills
BenchmarkingCluster ManagementGPGPUGraphics Processing UnitHigh Performance ComputingLeadershipMlops
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Proficient in English, both written and spoken
- Strong communication and interpersonal abilities
- Capable of working independently and within a team in a dynamic environment
- Deep understanding of the MLOps ecosystem and associated tools
- Keen interest in developing the future generation of AI/ML tools
- Enthusiastic about working in a fast-paced startup, multitasking, and prioritizing customer satisfaction
- Background as a developer or in a similar role
Day to day
- Spearhead the creation, design, and supervision of innovative ML products targeting training and inference processes
- Develop a comprehensive framework and GPU ML benchmarks for both internal and external applications, aiding marketing and customer-related efforts
- Monitor and analyze competitor offerings in the ML/AI cloud service sector, providing insights into market trends
- Craft integrations and accompanying documentation for the marketplace through open-source initiatives and collaborations with leading AI vendors
- Aid in the development of product content (e.g., use cases, how-to guides) to facilitate customer onboarding
- Ensure platform documentation is consistently updated with the latest features and enhancements
- Support existing customers in utilizing the infrastructure to guarantee an outstanding user experience
- Stay abreast of advancements in AI and machine learning, assessing and integrating new tools and frameworks beneficial to the team