Engineering Manager (MLOps) - MoneyLion

Gen; Kuala Lumpur; On-site; MYR 100,000 - 150,000; Full time

Benefits offered by this job

Flexible working options

Competitive pay

Well-being programs

Job summary

Gen in Kuala Lumpur is hiring a Manager for MLOps Engineering to lead a team focused on enhancing MoneyLion's machine learning platform. The role involves overseeing deployment practices, collaborating with Data Scientists, and optimizing cloud costs. Candidates should have robust experience in managing teams and deploying machine learning algorithms, alongside knowledge of Kubernetes and software development best practices. This position offers a supportive environment fostering innovation and career growth.

Qualifications

• 5+ years of experience in team management.
• Strong understanding of software development standards and practices.
• Experience managing data pipeline and machine learning algorithms.

Responsibilities

• Lead and manage MLOps Engineers.
• Collaborate with Data Scientists and Engineers.
• Establish monitoring systems for machine learning models.

Skills

Team management

Software Fundamentals

Data pipeline deployment

Kubernetes

Python

Java

SQL

Problem-solving

Tools

DVC

MLFlow

Metaflow

Ray

Chalk

Job description

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

• TA Screening Call
• 30-min Chat with our Hiring Managers
• Case Study
• 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.