Job Description

Tractive is the most trusted name for keeping cats and dogs safe and healthy. The secret to our success? A team of truly unique individuals who care about each other just as much as going the extra mile for pet parents. Want to be part of our story? Check out this role and see if you’re a good match!

Your territory

As part of our Data team, you will:

• Design and drive the next generation of Tractive activity, safety and health features used by pet parents around the world. With millions of devices already in the field, your ML systems will deliver visible impact at scale and push the boundaries of what pet health technology can do.

• Transform data into product by turning user problems into concrete ML/AI features - like our scratch monitoring model - and owning the full lifecycle from first prototype to running code in production

• Work with a huge real world dataset and validate your models at a scale that only a few companies can offer

• Build for production by designing scalable, resilient algorithms and services that behave reliably in live environments - not just in a notebook

• Boost your productivity with AI by using modern AI engineering tools (for example Cursor, Claude Code) and protocols such as Model Context Protocol (MCP) to keep development fast and future proof

• Coach teammates, share patterns and help establish engineering best practices within the team

• Raise the bar for quality with thoughtful code reviews, solid testing and a long term mindset for architecture and maintainability

• Bring in your fresh ideas to make Tractive better - you’ll never hear the phrase “...because that’s how we’ve always done things”

• Continuously grow personally and professionally, take ownership of areas that show your potential, and attend workshops which help you get to the next level

Your profile

Key requirements:

• Degree in Computer Science, Data Science, Software Engineering or a related field

• 5+ years of relevant professional experience in an ML/AI or Data Science engineering role

• Track record of designing, shipping and maintaining data driven or ML solutions in production (in the cloud or on the edge)

• Strong coding skills in Python and SQL, plus hands on experience with the common Data Science and ML stack (for example pandas, scikit learn, PyTorch or TensorFlow, MLflow)

• Experience with modern AI tooling, including coding assistants (for example Cursor, Claude Code), Model Context Protocol (MCP) or comparable frameworks

• Solid grasp of software engineering best practices, including Git, CI/CD and monitoring or operationalizing models in production

• Fluent English skills

• Valid Austrian work permit

Does this sound like you?

• You do not only build models - you build end to end solutions that solve real user problems

• You are genuinely curious about the fast moving AI and agent ecosystem and enjoy experimenting with new tools

• You enjoy ownership and like taking a project from a blank page to a reliable, deployed service

• You combine a strong attention to detail with a data first mindset for decisions

• You're excited to work in Austria alongside an outstanding team