Artificial Intelligence (AI) Developer

Required Education, Experience, and Qualifications

  • Demonstrated passion for artificial intelligence (AI) and machine learning (ML)
  • Proficient in Python and Linux
  • Proficient in at least one deep learning framework such as PyTorch, TensorFlow, Caffe2, or others
  • Excellent understanding of AI techniques and algorithms, such as deep learning, CNNs, RNNs, decision trees, clustering, ensembles, etc.
  • Bachelor’s degree or higher in AI/ML, computer science, statistics, applied mathematics, physics, bioinformatics, electrical engineering, or a similarly quantitative discipline
  • Solid foundation in mathematics, especially probability, classical and Bayesian statistics, linear algebra, differential equations, and calculus

Desirable Education, Experience, and Qualifications

  • 2+ years industry experience with software development in a production environment, especially with AI/ML
  • A portfolio of relevant work available for review online, to include course assignments
  • Proficiency in C++, C#, and other programing languages
  • Experience developing algorithms in a cloud computing environment
  • Experience with AWS and/or Azure
  • Knowledge of current deep learning models and commercially-available deep learning products for life sciences, genomics, materials science, computer vision, etc.
  • Experience with big data, data science, data wrangling, and databases
  • Understanding and/or experience working in an Agile/Scrum development environment

Knowledge, Skills, Abilities

  • Excellent problem-solving abilities in both familiar and unfamiliar domains
  • Able to comprehend complex data and use it to troubleshoot issues
  • Ability to understand foundational research in ML and an aptitude for scientific R&D across numerous disciplines
  • Desire to continuously improve processes and practices
  • Discipline, pride, and professionalism to write clean code
  • Excellent written and verbal communication skills
  • Ability to engage with innovation leaders globally and high-level R&D leaders within a large, global company
  • Enthusiastic about new technologies and how AI/ML can accelerate R&D, yet realistic in its potential and its application

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