Intuit is looking to architect, code, optimize, and deploy Machine Learning models at scale, automate their delivery, monitoring, and improvement, and build tools to ease pain points in the data science process.
Requirements
- Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
- Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
- Understand machine learning principles (training, validation, etc.)
- 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, Github) and workflows, and ability to write production-ready code.
- Experience deploying highly scalable software supporting millions or more users
Responsibilities
- Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
- Design and build systems which improve machine learning scalability, usability and performance.
- 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 with data scientists to productionalize prototype models to the point where it can be used by customers at scale.
- Work on existing codebases to either enhance model prediction performance or to reduce training time.
- Build a tool for a specific project, or multiple projects though generally these types of projects are decoupled from any one project.
Other
- Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
- Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
- 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
- 3+ years of experience
