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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
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