Backed by top regional and global VCs, BRKZ is Saudi Arabia’s fastest-growing construction-tech startup. Our web platform, mobile apps and WhatsApp channels give contractors instant access to 7,000+ building-material SKUs from 1,100+ vetted suppliers, with quotes in minutes and buy-now-pay-later financing built in. In just two years we have on-boarded 850+ contracting companies, supported giga-projects such as NEOM and King Salman Park, and scaled RFQs to $350 million while keeping positive unit economics.
You can read more about BRKZ's latest news on Forbes, TechCrunch & Wamda.
- Lead end-to-end ML development across BRKZ. Build and deploy production models, LLM agents, and data-driven workflows that improve accuracy and cut manual work across Finance, Credit, Procurement, and Operations.
- Scope problems with Product and Ops, size impact, and turn workflows into measurable gains.
- Cover full-stack ML engineering and applied data science: data analysis, feature engineering, modelling, evaluation, and monitoring.
- Own model lifecycle, reliability, and PDPL compliance.
- Guide standards for data quality and ML practices. Mentor ML and AI engineers.
* Expert Python and ML engineering.
* 5 to 8 years in ML engineering or applied AI with delivery in production environments
* Strong with LLMs, embeddings, RAG, and classical ML models.
* Skilled in data analysis, feature engineering, and evaluation.
* Experience building and scaling pipelines.
* Strong cloud deployment background.
* Able to quantify business impact and guide decisions.
* Strong communication and mentoring ability.
* Python, FastAPI, LangChain, Vertex AI or OpenAI APIs, TensorFlow or PyTorch, Scikit-learn, Pinecone or equivalent vector DB, Airflow or Prefect, GitHub, Docker, Terraform, PostgreSQL, BigQuery, n8n or similar workflow tools.
- Great opportunity to be part of a start-up with a lot of responsibility and independence early on and where you will have an impact on the entire business
- Attractive compensation package
- Access to tools helping with your learning and development
- Product first mindset
- The best idea wins; we are all ears when it comes to ways to do things better
- Exciting stock options
Check our guide on How to prepare for your interviews with BRKZ 🚚🏗️
Pls note : Certain positions eventual grading might be subject to interview performance, this allows great talent to shine regardless of years of experience and keeps a fair process based on how big of an impact you deliver in the organization.
Skills Required
- Expert Python and machine learning engineering
- 5 to 8 years of experience in machine learning engineering or applied AI
- Production machine learning delivery experience
- Experience with LLMs, embeddings, retrieval-augmented generation, and classical machine learning models
- Experience with data analysis, feature engineering, and model evaluation
- Experience building and scaling data and machine learning pipelines
- Strong cloud deployment experience
- Ability to quantify business impact and guide decisions
- Strong communication and mentoring skills
- Experience with Python, FastAPI, LangChain, Vertex AI or OpenAI APIs, TensorFlow or PyTorch, Scikit-learn, Pinecone or equivalent vector database, Airflow or Prefect, GitHub, Docker, Terraform, PostgreSQL, BigQuery, and n8n or similar workflow tools
What We Do
BRKZ is a Saudi Arabian construction-technology startup that operates a managed online marketplace for building materials. Its web platform, mobile apps, and WhatsApp channels connect contractors with more than 1,100 vetted suppliers and 7,000+ SKUs, offering rapid quotes, procurement support, and buy-now-pay-later financing. The company also aims to expand into a broader construction ecosystem spanning financing, workforce, and equipment services.
