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AI Specialist (Generative AI Focus)
Urban Ridge Supplies
Driving innovation and AI adoption, with a focus on Generative AI (GenAI), large language models (LLMs), text-to-image models, and AI automation.
13d ago
Experienced (8-12 years), Expert & Leadership (13+ years), Intermediate (4-7 years)
Full Time
Dubai, Dubai, United Arab Emirates
Office Full-Time
Company Size
100 Employees
Service Specialisms
No specialisms available
Sector Specialisms
Construction
Civil Engineering
Role
What you would be doing
What you bring
vector databases
ai applications
programming languages
project management
communication
education
- Knowledge of vector databases (FAISS, Pinecone, ChromaDB) for efficient AI search and retrieval.
- Strong analytical and problem-solving skills with a business-oriented AI mindset.
- Proven experience working with LLMs, text-to-image models, and generative AI applications.
- Ability to drive AI adoption and manage change across teams.
- Project management skills with experience in leading AI initiatives across an organization.
- Excellent communication skills, with the ability to simplify complex AI concepts for non-technical stakeholders.
- 3+ years of experience in AI, machine learning, or natural language processing (NLP).
- Strong understanding of data privacy, AI ethics, and regulatory compliance (e.g., GDPR, AI Act, CCPA).
- Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Strong understanding of deep learning, transformer architectures, reinforcement learning, and diffusion models.
- Background in digital transformation, AI-driven content creation, or AI-enhanced customer experience.
- Proficiency in programming languages such as Python, TensorFlow, PyTorch, and Hugging Face Transformers.
- Certifications in AI/ML (e.g., Google Professional ML Engineer, AWS Certified Machine Learning, OpenAI API Certification).
- Hands-on experience with prompt engineering, fine-tuning LLMs, and retrieval-augmented generation (RAG) techniques.
- Experience with multi-agent AI systems, self-learning models, and real-time AI applications.
- Familiarity with cloud-based AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI) and MLOps best practices.
- Experience working with APIs for OpenAI, Anthropic, Cohere, and Stability AI.
- Experience in deploying AI-powered chatbots, virtual assistants, or personalized AI solutions.
Information not given or found
Training + DevelopmentInformation not given or found
Interview process
Information not given or found
Visa SponsorshipInformation not given or found
Security clearance- the company may perform background checks as part of the hiring process
Company
Overview
- Provide top-tier supplies and services to the construction sector.
- Offer a broad portfolio of materials for industrial, commercial, and infrastructure projects.
- Work on large-scale projects, helping to shape cities and critical infrastructure.
- Known for delivering high-quality, reliable solutions in a fast-paced industry.
- Have a strong presence in the regional market, expanding steadily into new areas.
- Specialize in a wide range of construction products, from heavy machinery to fine materials.
- Proudly support the construction of key infrastructure that powers urban development.
- Customer Centricity: We listen to our customers to understand their needs, delivering high-quality products and services that exceed expectations.
- Integrity: We act with honesty and transparency, fostering trust with our stakeholders.
- Innovation: We embrace change, continuously striving for better solutions and advancements in our industry.
- Collaboration: We work together as a team, respecting diverse perspectives to achieve common goals.
- Sustainability: We commit to responsible sourcing, reducing environmental impact, and ensuring our actions support a sustainable future.
Net Zero by 2030
Climate Goal
Committed to achieving net zero emissions by the year 2030.
- Committed to creating eco-friendly products and sustainable operations.
- Using renewable energy and implementing waste reduction strategies in production.
- Designing products and packaging with circular economy principles.
- Collaborating with suppliers who focus on environmental responsibility.
- Promoting an inclusive work culture where every individual feels respected and valued.
- Encouraging diverse representation across all organizational levels.
- Ensuring equal opportunities for all employees, with a focus on merit-based growth.
- Supporting flexible work arrangements to accommodate diverse employee needs.
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