Staff Engineer, MLOps
About the job
SummaryBy Outscal
You will:
- Design and implement automation of model training/handling feedback loop process (continuous training)
- Implement solutions for continuous observability of ML models and their performance
- Implement solutions for automation of ML Pipeline components deployment process with appropriate support for quality gate
- Implement solutions for end to end tracking of model KPIs for a given dataset that support model versioning
- Develop Platform and Modular approach in assisting quicker development of ML Models, including solutions for feature store, parameter store and time series data
- Design solutions that are scalable and reduce time for ML model migration to prod
- Build production quality solutions that are highly scalable and meet acceptance criteria of technical requirements
- Interface with multiple teams, including ML, UI, backend and data engineering to ensure seamless data sourcing, handling, processing and visualizations.
You are:
- Driven to experience and learn more about design, architecture, understanding end to end requirements and delivering solutions that can add value to the work
- Collaborative and comfortable working across teams including data engineering, front end, Product Management, ML and DevOps
- Responsible and like to take ownership of challenging problems
- An effective communicator, including good documentation practices and articulating thought processes in a team setting
- Comfortable with working in an agile environment
- Curious about technology and the industry, and a constant learner
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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