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Data & AI Solution Architect

OBSS
Nottingham
8 months ago
Applications closed

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About Us

At OBSS Technology, we empower organizations to achieve their goals through innovative, data-driven, and AI-focused solutions. With expertise in large-scale enterprise projects, we leverage cutting-edge technologies to transform business processes and deliver exceptional value. We are seeking an experienced Data & AI Solution Architect to join our team and spearhead transformative retail and e-commerce projects.


Role Overview

As a Data & AI Solution Architect, you will drive the design and delivery of cutting-edge solutions that align with our clients' business strategies. You will oversee the end-to-end technical roadmap, lead architectural decisions, and ensure successful project execution. This role will focus on delivering impactful data and AI solutions, integrating modern machine learning techniques, and driving innovation within the retail and e-commerce domain.


Responsibilities

• Drive the design and implementation of large-scale data architectures and analytics projects for a retail/e-commerce client.

• Incorporate advanced Data Science and AI capabilities such as Natural Language Processing (NLP), Computer Vision, Generative AI (GenAI) and LLM into client projects.

• Translate complex business requirements into technical solutions, ensuring seamless integration into existing systems.

Qualifications

• Bachelor’s or higher degree in a relevant field such as Computer Science, Software Engineering, Data Science, Mathematics, Statistics, or related disciplines.

• Minimum 8 years of experience in Data Science, Machine Learning, Deep Learning and Advanced Data Analytics projects.

• Hands-on experience with modern data and ML platforms, cloud AI/Data services, major open source tools and libraries.

• Experience with MLOps practices (e.g., MLflow, Kubeflow) is a plus.

• Strong communication skills for translating technical concepts to non-technical stakeholders.

• Experience in a number of Retail, CRM, Marketing use cases (e.g., advanced personalization, recommendation systems, segmentation, campaign targeting, CLV, churn analysis) is required.

• Having industry certifications in AI, data analytics, or data science is a plus.

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