Role: AI Architect
Experience level: 10+ years
Job Location: Riyadh(Client location)
Who are we?
Crayon Data is a leading provider of AI-led revenue acceleration solutions, headquartered in Singapore with a local presence in India and the UAE. The company was founded in 2012 with the vision of simplifying the world’s choices. Our flagship platform, maya.ai, helps enterprises across the Banking, Fintech, and Travel industries create and capture sustainable revenue streams by unlocking the value of data.
maya.ai's capability is driven by four “as a Service” components - Data, Recommendation, Customer Experience, and Marketplace - that work individually and together to create tangible results. Crayon Data recently won the E50 awards organized by KPMG and the Business Times in Singapore. Crayon was featured in HFS Hot Vendors Compendium in 2021. They were also among the top 15 finalists at Emerging Enterprise Awards 2019, Singapore.
Job overview:
In this role, you’ll be part of our Data Science team. With a track record of innovation and taking large ML-based products from conception to delivering value, you will be responsible for developing ML and deep learning models to improve innovation.
Can you say “Yes, I have!” to the following?
Proven track record of impactful implementations in AI, demonstrated through various solutions.
End to end implementation experience of AI & Data Platform
Proficiency in using popular AI frameworks and tools.
Stay abreast of the latest research trends and emerging technologies in AI
Education:
B.E/B.Tech/MS in Machine Learning, Computer Science, Applied Statistics, Mathematics, or related field.
Skills:
Excellent communication skills.
Ability to translate business context and intuition into data-oriented hypotheses to drive impact. Product orientation, with high priority placed on the developer experience.
Can you say “Yes, I will!” to the following?
Design overall AI & Data Platform with scalable and reliable AI and Data infrastructure.
Select appropriate tools and framework for AI & Data Platform
Design AI and Data pipelines for data ingestion, preprocessing, model training, and deployment for variety of banking applications.
Design models, and techniques to address challenging problems in AI
Design and optimize AI for performance and accuracy.
Implement security measures to protect AI and Data systems.
Implement prototypes and proof-of-concept solutions to validate research findings.
Identify opportunities for innovation and contribute to the development of new solutions.
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