Machine Learning Engineer - Financial Integrity Risk
Tel Aviv, Israel
Our Tech:
We are using a variety of ML and stats models and algorithms, from classic supervised learning, to anomaly detection, unsupervised learning and semi supervised learning, to detect and mitigate ongoing fraud campaigns.
In our solutions we are using Graph Neural Networks, Ensembles, Boosting, Regression models, Time Series data, Causal Inference and more.Machine Learning Engineer - Financial Integrity Risk Responsibilities
- Play a role in setting the direction and goals for the ML pillar, in terms of project impact, ML system design, and ML excellence.
- Owning the entire development cycle, from ideation to realization across the stack. Designing and developing machine learning models using supervised, unsupervised, and deep learning techniques.
- Implementing and testing machine learning models in a production environment
- Take part in the overall team engineering efforts and contribute with hands-on work
- Working with software engineers to integrate machine learning models into applications and systems
- Collaborating with data scientists to identify and select appropriate machine learning algorithms and techniques
- Experience with developing machine learning models at scale from inception to business impact.
- Experience in one or more of the following areas: machine learning, classification, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
- Strong communication skills and the ability to work effectively in a team environment Knowledge developing and debugging in PHP/Python.
- Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Experience with large-scale A/B testing systems, especially in the domain of financial institutions or cyber security companies
- Masters degree in Mathematics, Statistics, related technical field, or equivalent practical experience.
- Python and PHP/Hack experience
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Causal inference Classification Computer Science Data Mining Deep Learning Engineering FinTech Machine Learning Mathematics ML models PHP Physics Python Security Statistics Testing Unsupervised Learning VR
Perks/benefits: Career development Flex vacation
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