Posting record
Open 12+ days
- BRKZ's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking BRKZ, so its true age is longer.
Last checked Nov 4, 2026.
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Upload your resumeWhat the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
About Us
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 .
What You will do (Responsibilities)
- 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.
Who You are (Qualifications)
- 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.
What we offer
- 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.
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