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MACHINE LEARNING ENGINEER - RELOCATION TO UAE

Descripción de la oferta de empleo

Senior Machine Learning Engineer - Relocation to Abu Dhabi 🇦🇪 (must be on-site) - Tax FreeOur 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, ScikitYou 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 platform. Greenfield project! You'll be an essential member of a dynamic and skilled team within a high-energy environment.Responsibilities:Develop forecasting and prediction models from POC to production-readyCollaborate closely with product, research, and development teams to ensure product alignment and enhance product efficiencyPlay a pivotal role in the research phase, identifying optimal market solutions for defined business challengesDeploy machine learning models into production environments, ensuring scalability, reliability, and efficiencyOffer guidance and expertise to both the R&D and product teamsRequirements:3+ years' experience as a Senior Software Engineer, Machine Learning Engineer, Data Engineer with a key focus on Machine Learning5+ in hands-on engineering roles with Python3+ years of experience in SQL, including proficiency in complex queries such as aggregations and analysisExposure to working on cloud technologies (AWS, Azure, GCP)Expertise in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learningExperience with machine learning libraries/frameworks like TensorFlow, PyTorch, scikitSolid background in classical/traditional Machine LearningFamiliarity with MLOps and ML pipeline tools, along with experience with scientific librariesDegree 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 inclinationWhat's Included:Relocation and VISA support for you and your familyHealth Insurance for you and the familyEquityRelocation bonusPlease contact Ryan Kavanagh today via ryan@umatr.io to apply today.
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Detalles de la oferta

Empresa
  • UMATR
Localidad
  • En toda España
Dirección
  • Sin especificar - Sin especificar
Fecha de publicación
  • 21/09/2024
Fecha de expiración
  • 20/12/2024
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