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Machine Learning Engineer

Salary undisclosed

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We are seeking a passionate and experienced Machine Learning Engineer to join our dynamic team. You will play a critical role in developing cutting-edge machine learning models and algorithms that drive our trading strategies, enhance user experience, and optimize operational efficiency. If you’re excited about leveraging data to solve complex problems in the crypto space, we’d love to meet you!

Key Responsibilities:

  • Develop and deploy machine learning models for trading algorithms, fraud detection, and market prediction.
  • Collaborate with data scientists, software engineers, and product teams to implement data-driven solutions.
  • Design, test, and optimize algorithms for scalability and performance in a high-frequency trading environment.
  • Analyze large datasets to extract actionable insights and refine existing models.
  • Monitor and maintain machine learning pipelines to ensure high reliability and performance.
  • Stay up-to-date with the latest trends in machine learning and blockchain technology.
  • Qualifications:

    • Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
    • 2+ years of experience as a Machine Learning Engineer, Data Scientist, or similar role, preferably in the fintech or crypto space.
    • Proficiency in Python, SQL, TensorFlow, PyTorch, or other relevant machine learning frameworks.
    • Strong knowledge of algorithms, data structures, and statistical methods.
    • Experience with cloud platforms AWS, GCP, Azure, or similar platforms.
    • Familiarity with blockchain technology and financial markets is a plus.
    • Excellent problem-solving skills, with the ability to think critically and adapt in a fast-paced environment.