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Job Description

Responsibilities

  • Design, develop, and deploy AI and ML models and algorithms to address complex challenges.
  • Preprocess, clean, and engineer features to prepare data for model training.
  • Train, evaluate, and optimize multiple machine learning models.
  • Build and maintain robust, efficient Python code using libraries such as TensorFlow, PyTorch, and scikit-learn.
  • Document code, experiments, and results clearly and concisely.
  • Collaborate closely with other engineers within the team to deliver outcomes.
  • Contribute in an agile development environment, partnering with a product manager and fellow engineers.

Requirements

  • Bachelor’s degree in a related field such as Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, or IT.
  • At least 3 years of experience applying analytical methods appropriately.
  • At least 3 years of hands-on experience with AI/ML and data science software, including Python-based tools.
  • Experience with Generative AI technologies is required.
  • Experience with cloud platforms and AI platforms.

Technologies

  • Python
  • TensorFlow
  • PyTorch
  • scikit-learn
  • R
  • Spark
  • SQL
  • Google Cloud Platform (GCP)

Benefits

  • Comprehensive medical, dental, and prescription drug coverage starts immediately.
  • Flexible family care options, parental leave, new parent ramp-up programs, subsidized back-up child care, and additional support.
  • Vehicle discount program for employees and family members, plus management leases.
  • Tuition assistance.
  • Active employee resource groups.
  • Paid time off to support individual and team community service initiatives.
  • A generous schedule of paid holidays, including the week between Christmas and New Year’s Day.
  • Paid time off with the option to purchase additional vacation days.

Overview

  • Job Type: Full time
  • Work Type: Hybrid

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