Software Engineers for Custom Object Training, Lund

Axis Communications AB; Lunds kommun; On-site; SEK 700,000 - 900,000; Full time

Job summary

Axis Communications AB in Lund is hiring software engineers to build the engine and user faces of a cutting‑edge AI training platform. You will contribute to self‑service ML training pipelines or data visualization UI, collaborating with AI experts in a Linux, cloud‑native environment.

Two profiles exist: Pipeline & Automation (MLOps focus) and Data Storyteller (Fullstack). Candidates will design pipelines, orchestrate data flows, build quality gates, or develop React interfaces and dashboards,

Qualifications

• Bachelor's or master's degree in Computer Science or a related field.
• Solid Python experience.
• Strong interest in cloud-native data storage and NoSQL databases.
• Experience with React and data visualization.
• Team player mindset—communicative, curious, and collaborative.
• Familiarity with MLOps, test automation, and CI/CD.

Responsibilities

• Participate as a dedicated team member in the daily work.
• Communicate with stakeholders (Product Managers, Architects, Specialists) to deliver customer value.
• Profile A: Design and develop automated Self-Service training pipelines using Python.
• Profile B: Build UI in React and design dashboards that visualize model metrics.

Skills

Python

React

Data visualization

MLOps

CI/CD

Team player

NoSQL databases

Education

Bachelor's or Master's in Computer Science or related field

Tools

CI/CD tools

NoSQL databases

Cloud-native storage

Linux

React UI development

Job description

Overview

Are you a software engineer who enjoys building the platforms that turn AI potential into real-world insights? Do you thrive in a highly collaborative, team-based environment and have a passion for Python and cloud-native automation? Our COT (Custom Object Training) team is looking for two new engineers to help us build the future of smart analytics at Axis.

Who is your future team?

We are the team behind COT, a cutting‑edge service that allows our customers to train cameras to recognize exactly what they need. Our mission is to transform complex AI training into a seamless, self‑service experience. We are currently a smaller core team and are looking for two more stars to join us.

Our Principles

• We build together. Collaboration is our default mode, not an afterthought.
• We own our work, from the first line of code to the value it creates for the customer.
• We are driven by curiosity and encourage asking "why?" and "what if?".
• We see mistakes as learning opportunities and a natural part of innovation.
• We support each other to grow, succeed, and have fun while doing it.
• We value open communication and respectful debate to find the best solutions.
• We celebrate our achievements, big and small.

How we work

Our focus is on engineering a high-quality, smart software platform. We work in an agile way where all team members collaborate on the design, architecture, and implementation. While we work closely with AI experts, these are pure software development roles; you will be building the "engine" and the "face" of the product, ensuring the system is robust and the data is accessible.

Quality is paramount. We develop in a Linux environment for services that empower our customers worldwide. We value a Platform Mindset – building high-quality, consistent APIs and tools that are scalable and easy to automate.

What you’ll do as a Software Engineer

We are looking for two different profiles to complement our team. Depending on your interest and background, your responsibilities will include:

Profile A: Pipeline & Automation Engineer (MLOps focus)

• Design and develop the automated Self‑Service training pipelines using Python.
• Orchestrate data flows between cloud storage and processing services to ensure high-performance training loops.
• Build the "Quality Gates" that automatically validate model accuracy and performance.

Profile B: Data Storyteller (Fullstack focus)

• Build and customize the user interface in React, making complex AI data easy to understand.
• Design intuitive dashboards that visualize accuracy, precision, and recall for our users.
• Bridge the gap between raw metadata and a "smart" user experience.

Common responsibilities

• Participate as a dedicated and collaborative member in the team’s everyday work.
• Communicate with stakeholders (Product Managers, Architects, Specialists) to ensure we deliver true customer value.

Who we’re looking for

We are looking for committed developers who want to work in a friendly, cross‑functional team. Whether you are an experienced professional or a talented recent graduate with a passion for cloud‑native engineering, we believe you can contribute to our journey.

Qualifications

• A bachelor's or master's degree in Computer Science or a related field.
• Experience with, or a strong foundation in, Python.
• A strong interest in cloud‑native data storage and NoSQL databases.
• Experience with or a strong curiosity for React and data visualization.
• A true team‑player mindset – you are communicative, curious, and driven to find the best solutions together.
• Familiarity with or an eagerness to learn about MLOps, test automation, and CI/CD.

What Axis has to offer

We are a world leader in network video, where cutting‑edge technology meets global impact. Here, you’ll contribute to meaningful projects that shape the future of security and surveillance – developing solutions used worldwide.

Our Lund HQ Campus, including the impressive Grenden building, offers a dynamic environment with spaces crafted to encourage collaboration, whether through informal "fika" chats, formal meetings, or after‑hours activities.

Application Process

Axis is a company realizing the benefits of a diverse workforce. We welcome all applications. We go through applications continuously, so don’t wait – send in your application today!

Vacation is important! During the summer many of us are on a well‑deserved vacation. During this period, you can expect some delay in our response, but we will get back to you as soon as possible.

In case of questions, please reach out to recruiting manager Thomas Danielsson at [phone].