Job Description
About the Team
ML Team team plays a central role in shipping scalable and cost-effective data-science solutions that power products and business decisions across the board. The team builds and maintains a robust MLOps stack—including a centralized feature-store, auto-training frameworks, an in-house model serving system, and real-time monitoring tools. Beyond platform engineering, the team also develops standalone feature-extraction applications that serve as core IP and provide a distinct competitive edge in the industry. It’s a space where deep tech meets real-world impact, and where
infrastructure and innovation go hand in hand.
About the Role
As an MLE-2, you'll play a key role in building backend systems that are robust, cost-effective, and optimized for performance. This role requires strong problem-solving ability, technical expertise, and a mindset of continuous improvement. You’ll work closely with stakeholders, demonstrate high quality and ...
ML Team team plays a central role in shipping scalable and cost-effective data-science solutions that power products and business decisions across the board. The team builds and maintains a robust MLOps stack—including a centralized feature-store, auto-training frameworks, an in-house model serving system, and real-time monitoring tools. Beyond platform engineering, the team also develops standalone feature-extraction applications that serve as core IP and provide a distinct competitive edge in the industry. It’s a space where deep tech meets real-world impact, and where
infrastructure and innovation go hand in hand.
About the Role
As an MLE-2, you'll play a key role in building backend systems that are robust, cost-effective, and optimized for performance. This role requires strong problem-solving ability, technical expertise, and a mindset of continuous improvement. You’ll work closely with stakeholders, demonstrate high quality and ...
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