Python Engineer (m/f)

We are looking for a Mid-level Python Developer with Machine Learning experience to join our engineering team. The ideal candidate has strong Python skills, hands-on Linux experience, and practical knowledge of ML workflows, data processing, and model experimentation. This role is embedded within the Data Science team and focuses on building, optimizing, and maintaining training, validation, data processing, and deployment workflows. The ideal candidate is a hands-on engineer who can help make development faster, more reliable, and more scalable. This is a hybrid role in Zagreb, Croatia. We are currently not open to B2B or fully remote collaboration for this role. About us: SAFR from RealNetworks is a unified ecosystem specializing in face-based computer vision solutions optimized for real-world performance. Building on a legacy of digital media expertise and innovation, RealNetworks has created a new generation of products that employ best-in-class artificial intelligence and machine learning to enhance and secure our daily lives. Key Responsibilities: Develop and maintain Python-based applications, tools, and services. Work on ML-related pipelines, tools, and workflows. Support model experimentation, evaluation, and integration. Work in Linux-based development and deployment environments. Process and analyze datasets used for machine learning tasks. Write clean, maintainable, and well-tested code. Collaborate with ML engineers, data scientists, and backend developers. Required Qualifications: 3+ years of experience in machine learning engineering, data engineering, Python programming, software engineering, or a related technical role. Bachelor’s degree in Engineering, Mathematics, Computer Science, Data Science, or a related field , or equivalent academic/practical experience. Strong Python programming experience. Hands-on Linux experience. Practical understanding of machine learning concepts and workflows. Experience with Python ML/data libraries such as NumPy, pandas, scikit-learn, or similar. Experience with Git and standard software development workflows. Ability to debug, optimize, and refactor code. Good problem-solving and communication skills. Preferred Qualifications: Experience with PyTorch Experience using Jupyter Notebook . Familiarity with ML model training, inference, and evaluation. Experience with data pipelines or ML pipelines. Basic understanding of DevOps, CI/CD, Docker, or cloud environments. Experience with APIs, backend services, or distributed systems. Experience with GPU-based development, shell scripting, monitoring, or performance profiling. We look forward to meeting you! Salary range for this position: $45,000-55,000