Machine Learning Engineer

Roles and ResponsibilitiesDesign and develop the ML infrastructure, including data ingestion, storage, and management systems.Implement and maintain version control systems for ML models and datasets.Develop and deploy automated ML workflows using tools like TensorFlow, PyTorch, or Scikit-learn.Collaborate with data scientists to develop and deploy ML models into production environments.Ensure the smooth operation of deployed models by monitoring performance and identifying potential issues.Develop and maintain documentation for ML infrastructure and workflows.Required QualificationsBachelor's degree in computer science, data science, mathematics, or a related field.Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.Advanced proficiency with Python, Java, and R code writing.Experience working with machine learning frameworks like Theano, TensorFlow, Caffe, etc.

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