Machine Learning Engineer
صاحب العمل نشط
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
شارك هذه الوظيفة
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
الوصف الوظيفي
Job Description:
Remitlys vision is to transform lives with trusted financial services that transcend borders. Since 2011 we have been tirelessly delivering on our promises to people who send money around the world. Today we are reimagining global financial services and building products that extend beyond traditional barriers to give customers access to more of the services they need no matter where they call home. Join over 2700 employees worldwide who are growing their careers with purpose and connection with our customers while having a positive impact on millions of people around the globe.The team in Israel pushes forward and aims for the stars. We hire top talents and invest in promoting their career by providing opportunities challenges and a great work environment that places an important emphasis on work-life balance.
About the Role:
Were looking for a Senior Machine Learning Engineer to design and build scalable ML models that power critical business decisions. You will focus on building ML expertise from experimentation to production in one or more areas that improve the companys overall ML strategy. This role is based in Tel Aviv and involves collaboration across global teams requiring strong communication and coordination skills.
Responsibilities:
Build and deploy end-to-end machine learning solutions from research to production by leveraging advanced algorithms and mathematical techniques to deliver highly predictive models in the fintech space.
Design and run experiments to evaluate new data sources and continuously improve the performance of existing models.
Implement maintain and monitor production models using Remitlys machine learning platform ensuring scalability reliability and long-term performance.
Evaluate model effectiveness both offline and in live environments with a focus on real-world impact and business relevance.
Act as a technical leader mentoring teammates guiding design decisions and collaborating with global cross-functional partners to drive ML initiatives forward.
Requirements:
MSc/Ph.D. in Statistics computer science data science or a related field
5 years of experience of exploring building and deploying ML and data systems in production
Strong programming skills in Python focusing on ML frameworks such as Sklearn XGBoost or TensorFlow
Experience with distributed and stream processing Cloud ML infrastructure and feature store tools
Expertise in supervised and unsupervised machine learning models (e.g. classification anomaly detection or clustering)
Experience writing code in Agile CI/CD-based production environments
Proficient in communicating technical and research ideas and collaborating effectively across teams and organizational stakeholders
Experience in Fintech solutions is a big advantage
#LI-hybrid
Equal employment opportunity has been and will continue to be a fundamental principle at Remitly. We are committed to nondiscrimination across our global organization and in all of our business operations. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race creed color religion sex gender identification and expression marital status military status or status as an honorably discharge/veteran pregnancy (including a womans potential to get pregnant pregnancy-related conditions and childbearing) sexual orientation age (40 and over) national origin ancestry citizenship or immigration status physical mental or sensory disability (including the use of a trained dog guide or service animal) HIV/AIDS or hepatitis C status genetic information status as an actual or perceived victim of domestic violence sexual assault or stalking or any other protected class as established by law.
#Remitly-Israel
Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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