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Lead Machine Learning Engineer

Lead Machine Learning Engineer

UMATRDubai, Dubai, United Arab Emirates
8 منذ أيام
الوصف الوظيفي

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Senior Consultant at UMATR | AI, Data Science & Software

Want to built a real-estate investment platform from scratch?

We’ve partnered with a well-funded, venture-backed startup building a smarter, more inclusive, real estate investment platform. They're bringing personalized, data-driven investment opportunities to users in a way that’s scalable, intuitive, and engaging. Machine learning is central to their product - powering everything from discovery and marketing, to decision-making.

You'll be coming in, setting up and leading the ML & AI function - you'll need to have experience building products from scratch and working in a fast-paced environment

What You'll Get :

AED 50k (flexible) + shares + VISA + Medical

What You’ll Do

  • Architect and build machine learning models for;
  • Personalized investment recommendations
  • Search relevance and ranking
  • Lead scoring, conversion prediction, and dynamic pricing
  • Audience segmentation and targeting for growth / marketing
  • Own the full ML lifecycle : from data collection and preprocessing to model development, evaluation, deployment, and monitoring
  • Introduce technologies and shape the roadmap for the ML function
  • Collaborate closely with engineering, product, and marketing teams to translate business needs into ML solutions
  • Set up scalable, maintainable ML pipelines and infrastructure from the ground up
  • Explore and apply GenAI (e.g., embeddings, summarization) to enhance discovery and engagement for future growth

What We’re Looking For :

  • 7+ years of experience in applied ML or data science, in tech or customer-facing products
  • Strong understanding of classical ML techniques for regression, classification, clustering, and ranking
  • Proven experience in building recommender systems, search infrastructure, or predictive models in production
  • Extensive background and expertise within Python
  • Previous roles where you have technically led and taken ownership in decision making, architecture and development
  • Solid coding and software engineering practices (version control, CI / CD, testing)
  • Strong deployment and monitoring experience
  • End-to-end experience - building from the ground up
  • Experience working with business and product stakeholders to deliver measurable results with ML
  • Ability to balance technical depth with product impact

    • Seniority level

    Seniority level

    Mid-Senior level

    Employment type

    Employment type

    Full-time

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    Job function

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