Senior Machine Learning Developer

2 weeks ago

Old Toronto, Canada Intuit Inc. Full time

Come join Intuit as a Senior Software Developer

In this role, you’ll be embedded inside a vibrant team of data scientists, machine learning developers and full-stack developers. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools.

Responsibilities
  • Discover data sources, get access to them, import them, clean them up, and make them machine learning ready.
  • Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
  • Partner with data scientists to understand, implement, refine, and design machine learning and other algorithms.
  • Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
  • Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
  • Explore new technology shifts to determine how they might connect with the customer benefits we wish to deliver.
  • BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience.
  • 6+ years of experience
  • Knowledgeable with Data Science tools and frameworks (i.ePython, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
  • Understand machine learning principles (training, validation, etc.).
  • Demonstrated experience with web services (e.g. REST) and API design.
  • Experience with any of the following Object Oriented Languages (OOD): Scala, Python, Java.
  • Knowledge of data query and data processing tools (i.e. SQL)
  • Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning)
  • Software engineering fundamentals: version control systems (i.e: Git) and workflows, and ability to write production-ready code.
  • Experience deploying highly scalable software supporting millions or more users.
  • Experience with integrating applications and platforms with cloud technologies (i.e AWS).
  • Strong oral and written communication skills.
  • Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users.
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