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Staff AI Engineer

Karnataka, India (On-site)

Staff AI Engineer

1 Month ago • All levels • Artificial Intelligence • Data Analyst

About the job

Summary

8 skills required for this role

Test your skills to join the top 1% applicants for this job

tensorflow

algorithms

reinforcement-learning

deep-learning

data-structures

pytorch

data-science

storytelling

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ABOUT THIS ROLE

As a Staff AI Engineer you will get to play with petabyte data gathered from a multitude of data sources including Balbix proprietary sensors and 3rd party threat feeds. You will leverage a variety of AI techniques including deep learning, probabilistic graphical models, graph learning, recommendation systems, reinforcement learning, NLP, etc. And of course, you will be part of a team building a world-class product addressing one of the grand challenges in the technology industry.

DATA SCIENCE AT BALBIX

At Balbix we believe in using the right algorithms and tools to ensure correctness, performance and deliver an excellent user experience. We draw boldly from the latest in AI/ML research but are unafraid to go beyond bayesian inference and statistical models if the situation demands it. We are generalists, caring as much about storytelling with data, as about bleeding edge techniques, scalable model training and deployment.

We are building a data science culture with equal emphasis on knowing our data, grokking security first principles, caring about customer needs, explaining our model predictions, deploying at scale, communicating our work, and adapting the latest advances.

We look out for each other, enjoy each others’ company, and keep an open channel of communication about all things data and non-data.

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

41 Active Jobs

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.