๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐๐ถ๐๐ โ ๐๐ฎ๐๐ฎ ๐ค๐๐ฎ๐น๐ถ๐๐ & ๐ฉ๐ฒ๐ฟ๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป (๐๐ฏ๐ ๐๐ต๐ฎ๐ฏ๐ถ)
LogiX ยท Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Apply & track with Apply EdgeCompany Description LogiX helps organizations unlock the full value of their data by transforming business operations through modern data strategies and AI-driven solutions. The company partners with clients across industries to design and implement scalable, high-impact data platforms that support informed decision-making. LogiX focuses on practical applications of AI, ensuring that advanced analytics translate into measurable business outcomes. Team members collaborate closely with clients, working on complex, real-world problems that require both technical depth and strategic thinking. Joining LogiX means contributing to innovative data initiatives in a dynamic, growth-oriented environment.Role Description LogiX is building the data & AI capability of a major Abu Dhabi organization โ production AI products on Azure (Azure OpenAI, SAP and M365 sources) with executive visibility. Full-time consultant, hybrid, term to end of January with strong conversion prospects.The numbers our products produce go to the top of the organization. Your job is to make sure they're right.๐ฌ๐ผ๐'๐น๐น ๐ผ๐๐ปโช๏ธ Data quality across the portfolio: validation, reconciling conflicting sources, certifying the KPIs leadership sees.โช๏ธ Evaluation of AI outputs: labeled test sets, the right metrics, measured quality before anything ships.โช๏ธ Analytics and model-backed insights for product teams, with explainability executives can act on.โช๏ธ Strong SQL/Python โ you trace suspect numbers to their source and verify the pipeline yourself.๐๐ฒ ๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐๐ผ ๐๐ต๐ผ๐ ๐๐โช๏ธ A number you certified for leadership โ and how you knew it was right.โช๏ธ An evaluation you built: test set, metric, why that metric.โช๏ธ A production incident where the data was wrong โ how you caught it.Not the role for dashboard/notebook portfolios or unqualified accuracy claims. *We want someone who questions the data, not someone who assumes it's correct.*