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Intuit Senior Staff Software Engineer 
United States, California, Mountain View 
820728772

21.09.2024
Qualifications
  • PhD, or Master's degree or Bachelor’s degree with 8+ years of CS, CE, ML or related field experience
  • 8+ years experience of software development working in large-scale distributed technology environments
  • 3+ years of experience with machine learning and neural deep learning methods, modeling tools such as scikit-learn, numpy, scipy, Tensorflow, MxNet, Spark MLLib, etc., and applying AI/ML methods for business applications such as recommender systems, user modeling, knowledge graphs, ranking, reinforcement learning, etc.
  • Strong analytical, strategic thinking, problem-solving and communication skills
  • End-to-end hands on experience in building large scale data processing systems, large scale machine learning systems, and big data/cloud technologies (e.g. AWS, Google Cloud, Azure)
  • Expert level proficiency in Java, Python, Web Technologies, Design & Architecture
  • Knowledge of building AI native applications
    • Guides the applicability of AI to customer problems through a deep understanding of the value and limitations of AI technologies.
    • Understands evaluation tools to validate and measure the accuracy of solutions.
    • High-level understanding of how AI models work, the different types of AI models that exist, and their pros and cons.
    • Understanding of the latest tools and technologies that apply AI to real-world applications.
  • Self-motivated attitude with the ability to multitask and thrive in a timeline-driven and fast changing environment
  • Ability to take a project from scoping requirements through actual launch of the project.
  • Knowledge of current trends and best practices in the modern SaaS technology landscape, state-of-the-art machine learning techniques
  • Experience in Scrum, Agile Process, Unit Testing & Test-Driven Development.
  • Great business acumen with a passion to solve for the customer