Junior MLOps Engineer

About Us:

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:

This is a summer internship position (dates can be adjusted based on your availability).

You will join a big data team responsible for building and running data-driven and AI-powered applications that process large volumes of data in both batch and real-time environments.

Our team works with a polyglot tech stack (primarily Java, Kotlin, and Python) and leverages cloud technologies to deliver scalable, production-ready solutions. As an intern, you will gain hands-on experience with modern data processing, MLOps, and integration of machine learning models into customer-facing products.

During the internship, you will:

• Work alongside experienced developers and contribute to an existing production codebase

• Learn how to process large datasets in both batch and real-time pipelines

• Collaborate on data and machine learning/AI pipelines

• Gain experience with monitoring data pipelines and debugging live applications

• Work with cloud technologies, primarily Google Cloud

About you:

• You are currently studying an IT-related university program or have relevant practical experience alongside your studies

• You have a basic understanding of programming (e.g. Java, Kotlin, Python or similar)

• You are eager to learn and open to working with new technologies and tools

• You are not afraid to ask questions and seek help when needed

• You take ownership of your work and responsibilities

• You are a team player and comfortable working in a collaborative environment

Nice to have:

• Experience with any cloud platform

• Interest in Big Data and data processing

• Experience with backend development

• Familiarity with tools such as Git, Docker, TeamCity, Jira, or Confluence

What’s next:

The interview process consists of two stages. First, you will have a one-hour interview with the hiring manager and a member of the team. This will be followed by a 30-minute interview with the Engineering Director.