At a Glance
- Tasks: Design ML/AI-driven solutions for retail ordering and collaborate with various teams.
- Company: Caraffi, a forward-thinking company transforming retail technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team focused on cutting-edge technology and enterprise solutions.
- Why this job: Be at the forefront of innovation in retail with impactful ML/AI projects.
- Qualifications: Experience in solution architecture and knowledge of ML/AI technologies.
The predicted salary is between 70000 - 90000 £ per year.
Caraffi is embarking on a major transformation of its forecasting, allocation and replenishment capabilities.
The role sits in the Technology Architecture function and focuses on shaping an ML/AI-enabled retail ordering platform across large-scale enterprise environments.
The Solution Architect will design end-to-end solutions, review blueprints, and ensure alignment with stakeholders while coordinating with integration, data and security teams.
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ML-Driven Forecasting & Replenishment Architect in Reading employer: Caraffi
At Caraffi, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Global Retail Tech Delivery Lead, you will have access to extensive employee growth opportunities and the chance to make a significant impact in a transformative role within the retail sector. Our commitment to employee well-being and professional development, combined with our strategic location, makes us an attractive choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land ML-Driven Forecasting & Replenishment Architect in Reading
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We think you need these skills to ace ML-Driven Forecasting & Replenishment Architect in Reading
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Caraffi. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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