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Machine Learning Engineer - Relocation to UAE

netherlands / Posted
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Senior Machine Learning Engineer - Relocation to Abu Dhabi 🇦🇪 (must relocate to Abu Dhabi) - Tax Free - On-Site role


Our client is a leading Fintech company out here in the UAE, and they are looking to add elite Machine Learning Engineers to their growing team in Abu Dhabi. Apply today and take the first steps towards revolutionizing the future of growth funding 🚀


Salary:

Up to 35k dirhams per month (Up to €106k tax free per year)


What You'll Work With:

Python, MLOps, PyTorch, MLflow, Tensorflow, Pandas, AWS, Azure, Scikit


You will be playing a pivotal role in the development of data science features alongside data engineering. In this role, you'll be responsible for designing ML pipelines, implementing algorithms to address dataset complexities, and spearheading the creation of a groundbreaking financial platform. You'll be an essential member of a dynamic and skilled team within a high-energy environment.


Responsibilities:

  • Develop forecasting and prediction models from inception to production-ready status, starting from proof of concept
  • Collaborate closely with product, research, and development teams to ensure product alignment and enhance product efficiency
  • Play a pivotal role in the research phase, identifying optimal market solutions for defined business challenges
  • Deploy machine learning models into production environments, ensuring scalability, reliability, and efficiency
  • Offer guidance and expertise to both the R&D and product teams


Requirements:

  • 3+ years' experience as a Senior Software Engineer, Machine Learning Engineer, Data Engineer with a key focus on Machine Learning
  • 5+ in hands-on engineering roles with Python
  • 3+ years of experience in SQL, including proficiency in complex queries such as aggregations and analysis
  • Exposure to working on cloud technologies (AWS, Azure, GCP)
  • Expertise in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning
  • Experience with classical machine learning models and techniques
  • Solid understanding of data engineering concepts, including data preprocessing, feature engineering, and ETL processes
  • Familiarity with MLOps and ML pipeline tools, along with experience with scientific libraries
  • Degree in Computer Science, Physics, Mathematics, or equivalent experience (Masters Degree or PHD a huge plus)


Who We Want To Speak With:

  • Mathematicians with a development-oriented mindset or engineers with a mathematical inclination
  • Independent, self-motivated, and inherently curious Engineers, passionate about creative problem-solving and critical thinking
  • A collaborative team player with exceptional communication skills


What's Included:

  • Relocation and VISA support for you and your family
  • Health Insurance for you and the family


Please contact Ryan Kavanagh today via [email protected] to apply today.