DevOps Engineer (Docker/IBM Cloud Experience Required)
Preferred learners
- Anywhere
- Academic experience
Categories
Skills
Project scope
- What is the main goal for this project?
-
Job description
We're transforming the Cyber Security industry
About Us:
F8th uses machine learning that can identify users and fraudsters in real-time via 100s of patterns of how an individual uses their mouse, keyboard, touchscreen and other inputs. It continuously analyzes typing speed, movement speed, clicking speed, acceleration, and more, and then builds a behavioural profile.
Job Description:
- Excellent SQL skills, fluency in Python, and experience with at least one statistical package (R, Pandas/NumPy/SciPy/matplotlib, Stata, Matlab)
- Deep understanding of modern statistical and machine learning models, when to apply them, and how to evaluate their performance
- Create and apply model and algorithm testing strategies to measure conduct multivariate testing and A/B testing to measure effectiveness of models and make ongoing changes
- Collaborate and lead the teams in feature extraction, data representation, and automatic data pipeline and collection design, as well as data quality assurance monitoring
- Functional, end-to-end, integration, regression, automated/manual testing
Requirements:
- Hands-on experience on machine learning, text analysis, data mining, and NLP
- Knowledge of Scala, Python, C#, C++, Java or Typescript, SQL and NoSQL databases
- Experience using PyTorch & popular NLP libraries such as FairSeq, AllenNLP, HuggingFace or SpaCy
- Experience with one or more back-end programming languages such as C++ and Python
- Familiarity working with large data sets and big data platforms such as Hadoop, PySpark, and Kubernetes
What We Offer You:
- Start-up lifestyle at a Cyber Security company
- Experience working closely with the founders of the company
- What is the main goal for this project?
-
Job description
We're transforming the Cyber Security industry
About Us:
F8th uses machine learning that can identify users and fraudsters in real-time via 100s of patterns of how an individual uses their mouse, keyboard, touchscreen and other inputs. It continuously analyzes typing speed, movement speed, clicking speed, acceleration, and more, and then builds a behavioural profile.
Job Description:
- Excellent SQL skills, fluency in Python, and experience with at least one statistical package (R, Pandas/NumPy/SciPy/matplotlib, Stata, Matlab)
- Deep understanding of modern statistical and machine learning models, when to apply them, and how to evaluate their performance
- Create and apply model and algorithm testing strategies to measure conduct multivariate testing and A/B testing to measure effectiveness of models and make ongoing changes
- Collaborate and lead the teams in feature extraction, data representation, and automatic data pipeline and collection design, as well as data quality assurance monitoring
- Functional, end-to-end, integration, regression, automated/manual testing
Requirements:
- Hands-on experience on machine learning, text analysis, data mining, and NLP
- Knowledge of Scala, Python, C#, C++, Java or Typescript, SQL and NoSQL databases
- Experience using PyTorch & popular NLP libraries such as FairSeq, AllenNLP, HuggingFace or SpaCy
- Experience with one or more back-end programming languages such as C++ and Python
- Familiarity working with large data sets and big data platforms such as Hadoop, PySpark, and Kubernetes
What We Offer You:
- Start-up lifestyle at a Cyber Security company
- Experience working closely with the founders of the company
- What tasks will learners need to complete to achieve the project goal?
-
No deliverables exist for this project.
- How will you support learners in completing the project?
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Calls through zoom and mentorship from the development team
About the company
- https://www.f8th.ai/
- 2 - 10 employees
- Banking & finance, It & computing, Technology, Business & management
F8th’s mission is to provide solutions to organizations against the latest cyber threats, enforce user privacy and corporate data security, and mitigate the massive damages and losses caused by data breaches.
F8th’s behavioural biometric analysis (BBA) works by analyzing mouse, keyboard and touchscreen movements to discern the unique identity of the user. Unlike conventional two-step authentication systems, F8th uses artificial intelligence, machine learning and deep learning to analyze 100s of these inputs in real time to identify an authorized user vs a fraudster. Moreover, F8th passively protects the customer and corporate data by continuously authenticating users through their human behaviors. Unlike every other tracker, F8th uses data that websites need to provide services, hence it is not impacted by browser tracker blockers, and is completely compliant with the new data privacy regulations.