Machine Learning Engineer - MoneyLion job opportunity at Gen Digital.

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DatePosted 4 Days Ago bot
Gen Digital Machine Learning Engineer - MoneyLion
Experience: General
Pattern: full-time
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loacation Kuala Lumpur, Malaysia, Malaysia
loacation Kuala Lumpur, ..........Malaysia

About Gen:      Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock,   MoneyLion   and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity   protection   and financial wellness solutions to   nearly 500   million users in more than 150 countries.        Together, we share a collective passion and vision to protect consumers and help them grow,   manage   and secure their digital and financial lives.   We’re   always looking for smart,   fearless   and high-impact talent who see AI as a teammate –   leveraging   it to move faster and deliver meaningful results.    When   you’re   part of Gen,   you’ll   have the flexibility,   tools   and support to do your best work and grow your career – from flexible working options and time off to competitive pay,   benefits   and well-being programs.    At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate,   experimentation   and continuous learning, and we seek out people with different experiences,   identities   and ideas to join our team.   You’ll   work with people who   back   each other, respect   each other   and understand that our differences are a competitive advantage.    If this sounds like you,   we’d   love you to be part of Gen.     About the Role:     The Kuala Lumpur office is the technology powerhouse of   MoneyLion . We pride ourselves on innovative initiatives and thrive in a   fast   paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!       We are looking for a Machine Learning Engineer who is technically proficient in programming to build machine learning systems and   maintain   high performing machine learning models in production. Designing machine learning systems requires that you, as the machine learning engineer,   is   able to frame business problems and design machine learning solutions that can effectively bring value to the company .    You will prototype,   implement   and experiment with machine learning methods to solve business use cases. You will lead efforts to automate,   architect   and   optimise   machine learning processes and workflows. You will also help define,   execute   and enforce best practices for test-driven model development processes for the entire Data Science team in   MoneyLion .     Key Responsibilities:      Able to frame and contextualize machine learning problems   Research, build and design machine learning systems and models that can solve business problems   Assess,   understand   and   analyse   data to select   appropriate datasets   for data modelling and testing   Identify , prototype and implement   appropriate machine   learning algorithms and tools to improve our products   Design, execute and   monitor   machine learning model experiments and metrics   Perform statistical analysis to evaluate and prove business impact of modelling improvements     Automate,   architect   and orchestrate machine learning processes and pipelines   Monitor,   optimise   and   maintain   machine learning solutions in production   Enrich existing machine learning libraries and model development frameworks to empower model development in   MoneyLion   Work with   MLOps   Engineers and Data Scientists to improve systems designs and architectures   Enforce test-driven development and advocate engineering best practices to reduce technical debt in machine learning systems   Develop tools and internal libraries to   facilitate   model governance over the machine learning development lifecycle     About You:    Strong mathematical,   statistical   or actuarial background   Good programming knowledge and software engineering skills   Must have hands on experience in machine learning, predictive   analytics   and statistical modelling   Experience developing and deploying machine learning models in production.   Adept at problem solving and troubleshooting using both textbook methods and novel viewpoints   Proficient in Python and SQL   Proficient with machine learning libraries and frameworks such as scikit-learn,   XGBoost ,   LightGBM   Preferably have experience in building machine learning systems and workflows   Preferably familiar and have experience with   MLOps   tools such as DVC,   MLFlow ,   Metaflow , Seldon,   BentoML   Preferably familiar and have experience with AWS, Docker , Kubernetes .   Solid communication and collaboration skills.     What’s  N ext:   TA Call (15 min)   Take-Home Assessment   Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)   Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds.   We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants . Learn more about pay transparency .     To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.

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