Machine Learning Architect

3 weeks ago


Clayton, Ohio, United States Saxon Global Full time

Saxon Global is committed to delivering innovative solutions in the field of artificial intelligence and machine learning. We are seeking an experienced Machine Learning Architect to join our team.

About the Role:

  • Design and develop scalable, reliable, and secure AI/ML systems, integrating machine learning algorithms with software frameworks and architectures.
  • Collaborate with cross-functional teams, including data scientists, engineers, and stakeholders, to architect and implement ML solutions that meet business needs.
  • Analyze data from various sources, including databases, APIs, and streaming platforms, to train and validate models.
  • Stay up-to-date with industry trends, advancements, and best practices in machine learning, contributing to the development of new skills and knowledge within the team.
  • Participate in code reviews, providing constructive feedback to ensure high-quality code and adherence to coding standards.

About You:

  • Minimum 5 years of experience in machine learning engineering, with a strong background in software development, statistics, and mathematics.
  • Proficiency in programming languages such as Python, R, or Java, with experience in popular frameworks like TensorFlow, PyTorch, or Keras.
  • Demonstrated expertise in designing, developing, and deploying predictive models, with a strong understanding of model evaluation metrics and techniques.
  • Experience working with databases, APIs, and streaming platforms, with knowledge of data preprocessing, feature engineering, and visualization.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Benefits:

  • A competitive salary range of $140,000 - $180,000 per year, based on experience and qualifications.
  • A comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off.
  • Opportunities for professional growth and development, including training, mentorship, and networking events.


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