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Job Description
📋 Description
- Build and enhance core product features across areas such as data preparation, AI and machine
- Develop tools for data integration, transformation, cataloging, visualization, and large-scale data
- Contribute to AI and machine learning capabilities, including LLM APIs, machine learning model
- Create intuitive experiences that make data accessible and actionable, including collaborative
- Develop high-performance visualization capabilities, including new chart types, dashboards, and
- Build MLOps capabilities that automate model retraining, monitoring, deployment, and collaboration
🎯 Requirements
- Significant professional experience in software engineering, with a track record of building and
- Strong fullstack engineering capabilities and a genuine interest in combining high-performing
- A stack-agnostic mindset and ability to learn and work effectively with different technologies and
- Experience with technologies relevant to modern software platforms, such as Java, Python
- Experience with cloud, distributed systems, data platforms, machine learning, visualization, or
- Ability to work on complex technical problems involving scalability, performance, data, AI, cloud
🎁 Benefits
- Opportunity to work on a sophisticated enterprise AI and data platform with significant real-world
- Exposure to a broad and evolving technology stack across AI, machine learning, data engineering
- Opportunity to contribute to innovative features involving LLMs, machine learning, MLOps, AI
- Collaborative environment bringing together engineering and research expertise.
- Opportunity to work on technically challenging problems at scale.
- Remote working opportunity within the United Kingdom.
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