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Machine Learning Engineer

4.00 to 5.00 Years   Dubai   31 Aug, 2024
Volume Nine FZ LLC
Job LocationDubai
EducationNot Mentioned
SalaryNot Mentioned
IndustryIT/ Computers - Software
Functional AreaNot Mentioned

Job Description

Job Title: Machine Learning EngineerLocation:DubaiExperience: 4 to 5 yearsAbout Us:Volume Nine FZ LLCWe are seeking a talented and motivated Machine Learning Engineer/Scientist to join our team. In this role, you will be responsible for developing and deploying machine learning models that drive our innovative products and services. You will work closely with data scientists, engineers, and product managers to design and implement scalable machine learning solutions.Key Responsibilities:

  • Develop and implement machine learning models and algorithms to solve complex problems.
  • Design and conduct experiments to evaluate model performance and optimize hyperparameters.
  • Analyze large datasets to derive insights and identify trends or patterns.
  • Collaborate with cross-functional teams to integrate machine learning solutions into production systems.
  • Stay up-to-date with the latest research and advancements in machine learning and artificial intelligence.
  • Communicate findings and recommendations to stakeholders through reports, visualizations, and presentations.
  • Ensure the reliability, scalability, and performance of deployed machine learning models.
Qualifications:
  • Bachelors, Masters, or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • Proven experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong programming skills in Python, R, or other relevant languages.
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Familiarity with cloud platforms and tools (e.g., AWS, Azure, Google Cloud).
  • Knowledge of software engineering practices, including version control (e.g., Git) and testing.
  • Excellent problem-solving skills and the ability to work independently and in a team environment.
  • Strong communication skills with the ability to convey technical information to non-technical stakeholders.
Preferred Qualifications:
  • Experience with deep learning architectures and techniques.
  • Knowledge of natural language processing (NLP), computer vision, or reinforcement learning.
  • Experience with big data technologies (e.g., Hadoop, Spark).
  • Contributions to open-source projects or publications in machine learning research.
What We Offer:
  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • A collaborative and innovative work environment.
  • Flexible work arrangements.

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