we are looking for a Machine Learning Engineer – Financial Integrity, Risk
Machine Learning Engineer – Financial Integrity, Risk Responsibilities
Have a leading position in setting the direction and goals for the ML pillar, in terms of project impact, ML system design, and ML excellence.
Creating and fostering long term vision on building first class, state of the art fraud enforcement solutions
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.
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
Machine Learning Engineer – Financial Integrity, Risk Responsibilities
Have a leading position in setting the direction and goals for the ML pillar, in terms of project impact, ML system design, and ML excellence.
Creating and fostering long term vision on building first class, state of the art fraud enforcement solutions
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.
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
Requirements:
Masters degree or above in Mathematics, Statistics, related technical field, or equivalent practical experience.
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
Preferred Qualifications
Knowledge developing and debugging in PHP/Python.
Experience with large-scale A/B testing systems, especially in the domain of financial institutions or cyber security companies
Masters degree or above in Mathematics, Statistics, related technical field, or equivalent practical experience.
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
Preferred Qualifications
Knowledge developing and debugging in PHP/Python.
Experience with large-scale A/B testing systems, especially in the domain of financial institutions or cyber security companies
This position is open to all candidates.
