Senior AI Engineer

<div class="content-intro"><h2><em><span style="color: rgb(0, 149, 168);"><strong>About Us</strong></span></em></h2> <p>Backed by top regional and global VCs, <strong>BRKZ is Saudi Arabia’s fastest-growing construction-tech startup</strong>. 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 <strong>NEOM</strong> and <strong>King Salman Park</strong>, and scaled RFQs to $350 million while keeping positive unit economics.</p> <p>You can read more about BRKZ's latest news on <a href="https://www.forbes.com/sites/davidprosser/2025/02/09/brkz-raises-8-million-to-build-on-saudi-construction-boom/" target="_blank">Forbes</a>, <a href="https://techcrunch.com/2025/02/09/saudis-brkz-closes-17m-series-a-for-its-construction-tech-platform/" target="_blank">TechCrunch</a> &amp; <a href="https://www.wamda.com/en/2025/02/brkz-closes-17-million-series-a-bolster-presence-saudi-arabia" target="_blank">Wamda</a>.</p></div><h2 style="text-align: left;"><span style="color: rgb(0, 149, 168);"><strong>What You will do (Responsibilities) :</strong></span></h2> <ul> <li>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.</li> <li>Scope problems with Product and Ops, size impact, and turn workflows into measurable gains.</li> <li>Cover full-stack ML engineering and applied data science: data analysis, feature engineering, modelling, evaluation, and monitoring.</li> <li>Own model lifecycle, reliability, and PDPL compliance.&nbsp;</li> <li>Guide standards for data quality and ML practices. Mentor ML and AI engineers.</li> </ul> <h2><span style="color: rgb(0, 149, 168);"><strong>Who You are (Qualifications) :&nbsp;</strong></span></h2> <p>* Expert Python and ML engineering.</p> <p>* 5 to 8 years in ML engineering or applied AI with delivery in production environments<br>* Strong with LLMs, embeddings, RAG, and classical ML models.<br>* Skilled in data analysis, feature engineering, and evaluation.<br>* Experience building and scaling pipelines.<br>* Strong cloud deployment background.<br>* Able to quantify business impact and guide decisions.<br>* Strong communication and mentoring ability.<br>* 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.</p> <h2><span style="color: rgb(0, 149, 168);"><strong>What we offer:</strong></span></h2> <ul> <li>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</li> <li>Attractive compensation package</li> <li>Access to tools helping with your learning and development</li> <li>Product first mindset</li> <li>The best idea wins; we are all ears when it comes to ways to do things better</li> <li>Exciting stock options&nbsp;</li> </ul><div class="content-conclusion"><hr> <p style="text-align: left;"><em><span style="font-size: 12pt;">Check our guide on<strong><a href="https://www.notion.so/How-to-prepare-for-your-interviews-with-BRKZ-1050a449029c80df85fbec82913780b1?pvs=4" target="_blank"> How to prepare for your interviews with BRKZ 🚚🏗️</a></strong></span></em></p> <p style="text-align: left;"><em><span style="font-size: 12pt;">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.</span></em></p></div>