MLOps Engineering Manager - MoneyLion job opportunity at Gen Digital.

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DatePosted 3 Days Ago bot
Gen Digital MLOps Engineering Manager - 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!     As a Manager for   MLOps   Engineering, you will have the opportunity to lead and guide the development of the next generation of   Moneylion’s   machine learning platform and infrastructure. You will lead initiatives to enable the deployment of machine learning solutions at   scale . This entails proactively   designing,  prototyping , and continuously refining the underlying machine learning infrastructure to remove bottlenecks and   expedite   the modeling lifecycle. You will also help to define,   establish , and enforce best practices in partnership with AI   Devops , Data Scientists, Data Engineers, and AI Engineers across   Moneylion .         Key Responsibilities:      Lead a team of young and bright   MLOps   Engineers in conducting research, design, and prototype   MLOps   practices, tools, and frameworks to   expedite   the machine learning lifecycle at   MoneyLion .   Work in collaboration with Data Scientists, Data Engineers, and AI/ML Engineering teams to enhance cross-team workflows and reduce time to deployment.   Improve the level of automation in the development and deployment processes of machine learning.   Collaborate closely with IT operations and DevOps teams to ensure the smooth integration of infrastructure platforms with other applications and processes.   Establish   and   maintain   systems for monitoring machine learning models in production. Oversee the development of machine learning models at   MoneyLion   to ensure proper model governance.   Effectively manage cloud infrastructure costs by monitoring and   optimizing   spending, and   provide   transparency and accountability in cost-related matters.   Develop and implement disaster recovery and business continuity plans for cloud infrastructure platforms.    Responsibility for the dependability of the   MLOps   platforms and solutions. This entails   participating   in an on-call rotation to address critical incidents when necessary.         About you:      Strong experiencing managing teams of Software Developers   Strong Software Fundamentals. Experienced with software development standards and best practices on software engineering in an enterprise organization, such as code pattern, code review, test-driven development, unit testing   etc   Experience with   deploying and managing data   pipeline   and machine learning algorithms at scale.   Demonstrated   practical experience with Kubernetes, with a preference for experience with EKS, in a production environment. In-depth understanding of Kubernetes architecture and its components.   Evaluate and implement best practices and   new technologies   to enhance application performance, accuracy, and cost efficiency   Proficient in Python, Java, SQL   Strong problem-solving and troubleshooting skills and effective communication and collaboration abilities.   Design and ship applications that provide excellent user experience to data analysts and scientists   Maintain   multiple codebases, conduct code   reviews   or pair programming to ensure high-quality code   Preferably familiar and have experience with   MLOps   tools such as DVC,   MLFlow ,   Metaflow , Ray, Chalk       What’s   next:   30-min Chat with our Hiring Managers   Live Technical Assessment   Final Interview - Hiring Manager (Virtual or face-to-face)       __________   Gen is an  equal opportunity employer , and  we’re  committed to fair, inclusive practices at every stage of the candidate and employee journey. Employment decisions are based on merit,  experience  and business needs.     #LI-MLN   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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