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- Tasks: Lead the design and delivery of innovative data and AI solutions for retail and e-commerce.
- Company: Join OBSS Technology, a leader in data-driven and AI-focused solutions for enterprises.
- Benefits: Work on cutting-edge projects with a focus on innovation and technology.
- Why this job: Be at the forefront of transforming business processes with impactful data solutions.
- Qualifications: 8+ years in Data Science and Machine Learning; relevant degree required.
- Other info: Experience with MLOps and industry certifications are a plus.
The predicted salary is between 48000 - 72000 £ per year.
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.
Data & AI Solution Architect employer: OBSS
Contact Detail:
OBSS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Solution Architect
✨Tip Number 1
Familiarize yourself with the latest trends in data architecture and AI solutions, especially in the retail and e-commerce sectors. This knowledge will help you speak confidently about how your skills can directly benefit OBSS Technology's clients.
✨Tip Number 2
Showcase your hands-on experience with modern data and ML platforms during networking opportunities. Engaging with professionals in the field can lead to valuable insights and connections that may help you land the role.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully integrated advanced Data Science and AI capabilities. Highlighting your practical experience with NLP, Computer Vision, or Generative AI will set you apart from other candidates.
✨Tip Number 4
Brush up on your communication skills, particularly in translating complex technical concepts into layman's terms. Being able to effectively communicate with non-technical stakeholders is crucial for a Data & AI Solution Architect.
We think you need these skills to ace Data & AI Solution Architect
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data & AI Solution Architect position. Understand the key responsibilities and qualifications required, and think about how your experience aligns with these.
Tailor Your CV: Customize your CV to highlight relevant experience in Data Science, Machine Learning, and Advanced Data Analytics. Emphasize any projects that involved retail or e-commerce, and showcase your hands-on experience with modern data platforms and MLOps practices.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your passion for data-driven solutions and innovation in the retail sector. Mention specific technologies or methodologies you have used that are relevant to the role.
Showcase Communication Skills: In your application, provide examples of how you've successfully communicated complex technical concepts to non-technical stakeholders. This is crucial for the role, so make sure to highlight this skill effectively.
How to prepare for a job interview at OBSS
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with data science, machine learning, and advanced analytics projects. Highlight specific tools and platforms you've used, especially in the context of retail and e-commerce.
✨Demonstrate Problem-Solving Skills
Prepare to present examples of how you've translated complex business requirements into technical solutions. Use real-world scenarios to illustrate your approach to integrating AI capabilities like NLP or Computer Vision.
✨Communicate Effectively
Since strong communication skills are essential, practice explaining technical concepts in a way that non-technical stakeholders can understand. This will show your ability to bridge the gap between technical and business teams.
✨Highlight Relevant Experience
Discuss your experience with MLOps practices and any relevant industry certifications. If you have worked on projects involving advanced personalization or recommendation systems, make sure to bring those up as they align well with the role.
