Description

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.
  • Proven experience 8 to 10 as a Machine Learning Engineer or similar role, with a strong track record of developing and deploying machine learning solutions in real-world applications in Azure environment
  • Proficiency in programming languages such as Python, R, or Java, along with familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn), Azure ML etc…
  • Experience in Clinical background
  • Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing.
  • Experience with data preprocessing, feature engineering, and dimensionality reduction techniques.
  • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
  • Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
  • Experience with Azure cloud platform and containerization technologies (e.g., Docker, Kubernetes) is a plus.
  • Familiarity with version control systems (e.g., Git) and agile software development methodologies.
  • Mandatory skills: Python, R, Java, azure, Machine Learning

Key Skills
Education

Bachelor's or Master's degree

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