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Our company is looking for an Artificial Intelligence/Machine Learning (AI/ML) Engineer to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. This role will play a crucial role in the development and implementation of cutting edge AI products. Responsibilities of the role will include designing and constructing sophisticated machine learning models, as well as executing tests and refining, updating, and optimizing existing systems and algorithms. The ideal candidate will be highly skilled in statistics and programming, and capable of assessing, analyzing, and organizing large amounts of data.

Typical Duties and Responsibilities

  • Study and transform data science prototypes
  • Design machine learning systems and deep learning applications
  • Research and implement appropriate machine learning algorithms and tools
  • Develop machine learning applications in keeping with business requirements
  • Solve complex problems with multilayered data sets
  • Construct optimized data pipelines to feed machine learning models
  • Select appropriate datasets and data representation models
  • Run machine learning tests and experiments
  • Perform statistical analysis and fine-tune using test results
  • Train and retrain systems as necessary 
  • Optimize and extend existing machine learning libraries and frameworks
  • Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications
  • Stay up to date with developments in the machine learning industry

Education

  • Bachelor’s degree in computer science, mathematics, statistics, or a related field

Required Skills and Experience

  • Experience as a machine learning engineer or in a similar role
  • Expertise in probability, statistics, and algorithms
  • Proficiency with Python, Java, and R
  • Thorough knowledge of machine learning frameworks like Keras or PyTorch
  • Knowledge of machine learning libraries like scikit-learn
  • Knowledge of data structures, data modeling, and software architecture
  • Excellent analytical and problem solving skills