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About the role
Role Responsibilities: Design and implement machine learning systems and self-running AI software to automate predictive modeling. Develop models that align with business goals, track progress, and improve deployment using MLOps practices. Convert AI/ML models into APIs for integration by other developers. Perform statistical analysis and fine-tune models to optimize performance. Collaborate with cross-functional teams to define application requirements and troubleshoot issues. Job Requirements: Proficiency in libraries like scikit-learn, pandas, and experience in processing and validating data. Experience with Python frameworks such as Django, Flask, or Pyramid for web applications. Strong problem-solving, analytical skills, and good communication skills. Good stakeholder management abilities and the capacity to work on business-critical applications. Experience in deep learning frameworks (TensorFlow, Keras) is highly valued.
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