Machine Learning Engineer

Location: Novi Sad

We are building an AI department, and this is one of the first roles in it. 

We bring engineering excellence and scale to help our customers build digital products of the future. For years, our work has been in embedded systems, digital television, Android, consumer and industrial IoT solutions, CI/CD platforms, and automotive infotainment systems, delivering software that powers millions of devices and systems worldwide. We are now launching a set of new AI projects designed to deliver immediate, tangible value to those users. Just as importantly, we are building internal AI tooling to improve our software development processes and help our engineers build more effectively. This initiative involves projects spanning local LLMs, RAG systems, multi-agent workflows, and the semantic analysis of our engineering data. 

What we don't have yet is a team that properly owns this. That's the job. You will be the senior engineer in the room from day one: setting the technical direction, deciding what we build versus what we buy, and helping us hire the people who come next. 

Your role would include:

• Designing, building, and shipping machine learning solutions that run in embedded and real-time environments
• Taking models the whole way: data, training, optimization, integration, deployment, and the unglamorous monitoring afterwards. Establishing the foundational MLOps infrastructure
• Tailoring models for constrained targets (quantization, pruning) and making honest trade-offs between accuracy, memory, and latency 
• Working across diverse domains and business units (embedded, DTV, Android, IoT, automotive, CI/CD). Their constraints are your constraints, and most of your design decisions will be made in conversation with them. 
• Turning advanced AI concepts into practical tools. You will build RAG systems and multi-agent workflows to solve real bottlenecks in daily engineering work. 
• Defining what we need, interviewing candidates, and establishing the engineering standards, tooling, and review practices the team will work by 
• Providing structured engineering mentorship and helping us turn interns into colleagues 
• Communication with stakeholders across the company. Part of the job is explaining what AI can realistically do for a given product and being equally clear about what it can't. 

Requirements:

• Experience shipping ML to production. You should be able to talk through something you built that real users depended on  
• Hands-on experience with embedded and/or real-time systems: memory and CPU budgets, debugging on target hardware 
• Advanced proficiency in Python 
• Practical experience with machine/deep learning frameworks, as well as the MLOps tooling required to support them 
• The ability to work without a fully defined roadmap. Early on, part of your job is deciding what the job is. 
• University degree in computer technology or computer science 
• Very good knowledge of English language 

Preferred skills and knowledge:

• Experience applying AI to source code  
• A track record of sharing knowledge, whether through conference talks, internal tech presentations, or university lecturing  

Why you will love working here:

• Real, tangible impact at scale:  Our software runs on millions of devices. Work you finish on a Friday ends up in living rooms, not in a slide deck. 
• Setting the direction: You're joining early enough to shape the department's technical direction, its stack, and its hiring.

• Always growing:  We invest in your growth by providing opportunities for continuous learning and professional development - technical and soft skills trainings, English language courses, e-learning, library with a significant collection of professional literature 
• Feel Good, Work Better: We prioritize your well-being by providing private health insurance coverage and annual medical health check-ups 
• Your Time, Your Way:  Enjoy a work-life balance with flexible working hours to meet your personal and professional needs (start any time from 7-10 AM)  
• Global Adventures: Enjoy the chance to travel and work abroad, gaining exposure to diverse cultures and perspectives  
• Fun Beyond the Code:  Enhance your work-life balance by participating in a variety of social and sports activities organized by the company. From team building events for every team and theater tickets, special Friday events each month, Picnic day ... - there's always something happening beyond the office walls. 

In RT-RK we value:

• Expertise: At the core of our identity is expertise. It's not just a buzzword; it's the foundation of how we operate. We're committed to consistently exceeding expectations and delivering top-notch quality in every facet of our work.  
• Dedication:  When we say dedication, we mean it. It's woven into the fabric of every project we take on. Our team goes the extra mile, driven by a shared passion that fuels our collective effort to innovate, learn, and achieve exceptional results.   
• Lifelong Learning:  We've been in the business of shaping engineers for over 30 years. Join us, and let's continue this tradition of lifelong learning together.