Senior Artificial Intelligence Scientist

3 days ago

Mississauga, Ontario, Canada Zebra Full time
Job Overview:

Zebra is a forward-thinking company that is reimagining the future for its people, customers, and the world. We are seeking a Senior Artificial Intelligence Scientist to join our AI product development team to help develop our AI suite of products.

This role will be responsible for building production-ready AI products that are optimized for speed, reliability, and scale using PySpark and Python. The ideal candidate will have a strong background in machine learning, software development, and machine learning engineering.

Responsibilities:
  • Develop production-level machine learning software using PySpark and Python.
  • Convert proof-of-concepts and feature requests into production-ready code.
  • Optimize and transform existing software for speed, reliability, and scale.
  • Integrate state-of-the-art machine learning algorithms as well as the development of new methods.
  • Collaborate cross-functionally with data scientists, data engineers, product managers, and other stakeholders to identify gaps and issues in the AI product suite and propose solutions.
  • Participate in all phases of the software development lifecycle including design, coding, unit testing, and documentation for both new and existing pieces of software.
  • Mentor, guide, and indirectly lead less experienced Artificial Intelligence Scientist peers.
  • Drive innovation by fostering an open, high-energy, collaborative environment; lead participation in innovation summits and expos, recommend relevant training and conferences for employees to attend, publish papers and patent disclosures.
Qualifications:
  • Master's or Ph.D in mathematics, statistics, computer science, computer engineering or related field.
  • 5+ years' experience in data science, machine learning, or software engineering required.
  • Knowledge of statistical programming techniques and languages (e.g., Python, PySpark).
  • Working knowledge of common machine learning and deep learning approaches (e.g. regression, clustering, classification, dimensionality reduction, supervised and unsupervised techniques, Bayesian reasoning, boosting, random forests, deep learning) and data analysis packages (e.g. scikit-learn, Spark MLlib).
  • Extensive knowledge and experience with time series forecasting.
  • Prior experience with machine learning packages (e.g. scikit-learn, TensorFlow, Keras, PyTorch).

Zebra is an equal opportunity/affirmative action employer committed to a diverse and inclusive workplace. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability and protected veteran status or any other basis prohibited by law.

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