At OptIQ, we're building the AI-powered infrastructure to de-risk sensitive data before feeding it into ML Models or accessed by users. OptIQ automatically detects, protects, and governs sensitive data across any public cloud or big data platform. No more endless spreadsheets, regex headaches, or sleepless nights worrying about leaks. Just seamless security and insights, empowering your organization to leverage data with confidence. Founded in 2022, OptIQ is headquartered in Palo Alto, USA, and very well funded by the world's top VCs and Angels.
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What We Expect:
This is a great opportunity to be an early ML Engineer in a high-growth startup. You will work with a small team of data scientists and engineers in a very high-impact role.  You will be responsible for designing and driving end-to-end ML projects at OptIQ. You will work with a blended team of engineers and data science professionals. You will apply your expertise to build packaged and shipped products in the space of data security.

What You Will Do:  
- Collaborate with different teams to implement custom ML models and algorithms to apply to different datasets
- Work on complex problems with an emphasis on product development
- Work with engineers and back-end software to deploy and maintain ML models in a production environment
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Who We Are Looking For :
- Experience in building machine learning infrastructure, and/or applying machine learning algorithms to drive technical product development
- Strong technical background in computer science, math, and machine learning.
- Experience building ML models in Python
- Doing Engineering in Computer Science, Electrical Engineering, Statistics, or equivalent fields
- Excellent verbal and written communication
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