
11 - 50 employees
☁️ SaaS
🤝 B2B
💰 $100k Pre Seed Round on 2019-08
SaaS • B2B • Open Source
OpenTeams is a company that provides a comprehensive platform and marketplace for enterprises to access, implement, and support open source solutions. By bridging the gap between open source communities and businesses, OpenTeams offers commercial support, training, and services necessary to optimize the use of open source technologies. They help organizations overcome challenges related to open source adoption, including security, compatibility, and customization, and provide support in recruiting open source talent. OpenTeams also offers business process outsourcing services for software consultancies, covering areas like HR, marketing, and accounting. With a strong emphasis on community engagement and collaboration, OpenTeams facilitates business innovation through trusted open source partnerships.
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11 - 50 employees
☁️ SaaS
🤝 B2B
💰 $100k Pre Seed Round on 2019-08
SaaS • B2B • Open Source
OpenTeams is a company that provides a comprehensive platform and marketplace for enterprises to access, implement, and support open source solutions. By bridging the gap between open source communities and businesses, OpenTeams offers commercial support, training, and services necessary to optimize the use of open source technologies. They help organizations overcome challenges related to open source adoption, including security, compatibility, and customization, and provide support in recruiting open source talent. OpenTeams also offers business process outsourcing services for software consultancies, covering areas like HR, marketing, and accounting. With a strong emphasis on community engagement and collaboration, OpenTeams facilitates business innovation through trusted open source partnerships.
• Develop and refine features for deep learning models, working with large-scale customer and behavioral datasets • Implement model architecture changes informed by recent academic research (e.g., papers from NeurIPS and similar venues) • Collaborate with client teams to understand business context and translate requirements into technical solutions • Optimize model training pipelines for efficiency and scalability • Document approaches, findings, and technical decisions for knowledge sharing across teams • Participate in code reviews and contribute to engineering best practices
• Strong proficiency with a deep learning framework (e.g. Pytorch, tensorflow) • Hands-on experience with feature engineering for predictive models • Solid foundation in machine learning fundamentals (supervised learning, neural network architectures, optimization) • Ability to read, understand, and implement techniques from ML research papers • Python proficiency in a data science/ML context • Comfortable working in ambiguous environments and adapting to unfamiliar tooling.
• 100% employer paid medical premiums for employees • self-managed PTO with a minimum time off requirement
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