Responsibilities

  • The candidate should have 3 to 5 years of experience in machine learning engineering or a similar role
  • Experience with data preprocessing, feature engineering, and handling both structured and unstructured data
  • Collaborate with data scientists and analysts to understand business requirements and translate them into scalable machine-learning solutions
  • Preprocess and analyze large datasets to extract relevant features, ensuring data quality and model performance
  • Integrate machine learning models into production environments, ensuring scalability and robustness
  • Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud for model deployment
  • Monitor and maintain machine learning models post-deployment, identifying areas for improvement and retraining models as necessary
  • Stay updated on the latest advancements in machine learning and artificial intelligence technologies, incorporating best practices into projects
  • Document the development process, including model specifications, training procedures, and performance evaluations for future reference