Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper.
We never stop working to find new, innovative ways to make that possible.
Qualifications
We’d love to hear from you if :
- You have a passion for cloud engineering and platform development.
- You have a level of resourcefulness that sets you apart from your peers.
- You collaborate well with others to discover and build out the best solution.
- You have a collaborative attitude to not only share ideas and resources, but to help others meet their goals and grow the collective knowledge of the team.
- You have an ability to interact with well-documented web APIs through scripting and code.
- You have a Bachelor’s Degree in Computer Science, Machine Learning, Data Science, or equivalent experience.
- You have experience with Python, Cloud Dev, Docker, Kubernetes, experience with popular ML libraries like sk-learn and PyTorch.
- You have experience with ETL and distributed computing tools such as Spark, SQL, etc.
- It is a bonus if you have experience in Java, Airlow, Kubeflow, MLFlow, BigQuery
Responsibilities
What you’ll do :
- Develop machine learning patterns for building and training classical machine learning models and interaction with large language models.
- Developing ingestion / pre-compute jobs using container orchestration tools ( Airflow )
- Collaborate with the Data Science and Machine Learning teams to gather requirements, and work through implementing solutions
- Iterate on Mailchimp’s Prompt Management platform to accelerate the ability of our product teams to use LLM’s effectively and responsibly.
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