AI/ML Architect
11 skills required
Job Details
You Will
- Design and develop an ensemble of classical and deep learning algorithms for modeling complex interactions between people, software, infrastructure and policies in an enterprise environment
- Design and implement algorithms for statistical modeling of enterprise cybersecurity risk
- Apply data-mining, AI and graph analysis techniques to address a variety of problems including modeling, relevance and recommendation
- Build production quality solutions that balance complexity and performance
- Participate in the engineering life-cycle at Balbix, including designing high quality ML infrastructure and data pipelines, writing production code, conducting code reviews and working alongside our infrastructure and reliability teams
- Drive the architecture and the usage of open source software library for numerical computation such as TensorFlow, PyTorch, and ScikitLearn
You Are
- Able to take on very complex problems, learn quickly, iterate, and persevere towards a robust solution
- Product-focused and passionate about building truly usable systems
- Collaborative and comfortable working across teams including data engineering, front end, product management, and DevOps
- Responsible and like to take ownership of challenging problems
- A good communicator, and facilitate teamwork via good documentation practices
- Comfortable with ambiguity and thrive in designing algorithms for evolving needs
- Intuitive in using the right type of models to address different product needs
- Curious about the world and your profession, constant learner
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About The Company
Balbix enables organizations to reduce cyber risk by identifying and mitigating their riskiest cybersecurity issues faster.
The Balbix Security Cloud™ platform ingests data from an organization’s security and IT tools to understand every aspect of cybersecurity posture and build a unified cyber risk model, then provides actionable insights for risk reduction. With Balbix, enterprises can automate inventory of their cloud and on-prem assets, conduct continuous risk-based vulnerability management and quantify cyber risk in dollars. Executives and operational teams can make cybersecurity decisions based on data not opinions.
A rapidly growing set of Fortune 500 companies trust Balbix as the “brain” of their infosec programs and are realizing the benefits of maximally automated workflows and reduced cyber risk. Balbix was recognized in CNBC‘s 2022 list of Top 25 Startups for the Enterprise and ranked #32 on the 2021 Deloitte Fast 500 North America.
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