What you will bring as a Machine Learning Engineer:

• Minimum of 3+ years of experience in Machine Learning Engineering, AI Engineering, Data Science, or a similar role. - Strong understanding of how large language models work: transformer architectures, attention mechanisms, tokenization, embeddings, and inference pipelines. - Hands-on experience with cloud AI services, particularly AWS (Bedrock, SageMaker, Lambda). - Practical experience building systems with embeddings and vector databases for semantic search or retrieval-augmented generation (RAG). - Familiarity with agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI, or similar) and understanding of agent architectures including planning, memory, and tool use. - Strong software engineering fundamentals: Python, REST APIs, Git, Docker, and CI/CD. - Solid foundation in mathematics: linear algebra, probability, statistics, and optimization. Understanding of classical ML algorithms and when they apply. - Bachelor’s degree in Computer Science, AI, Mathematics, Physics, or a related field. # Bonuses:

• Master’s degree or PhD in a relevant field. - Experience with prompt engineering, context engineering, and LLM evaluation frameworks. - Knowledge of MLOps practices: model monitoring, A/B testing, and deployment pipelines for AI features. - Experience with computer vision or image/video processing (highly relevant to our DAM domain). - Proficiency with AI-assisted coding tools and workflows (GitHub Copilot, Cursor, Claude Code, etc.). - Familiarity with GDPR and data privacy considerations for AI systems in Europe. - Experience working in a B2B SaaS or enterprise software environment. # What you will bring as a colleague:

• A self-starter mentality. You thrive in an R&D environment with ambiguity and open-ended challenges. - Intellectual curiosity and a genuine passion for AI, with a habit of staying current with the latest developments. - The ability to connect the dots between mathematical theory, engineering implementation, and product value. - Great communication skills in English. You can translate complex AI concepts for non-technical stakeholders. - A growth mindset and the determination to improve yourself and others. - A responsible approach to AI, thinking about bias, fairness, transparency, and the real-world impact of the systems you build. # Why you’ll love Bynder!

At Bynder, innovation is in our DNA. We’ve worked hard to build an environment that promotes creative thinking and self-initiative within a culture of fun. It’s common to find colleagues hanging out after work – if you believe in “be nice, work hard, have fun”, you’ll have an office full of friends. # What we offer:

• Challenging and inspiring work environment in our dedicated AI innovation team. - Flat hierarchy where your voice will be truly heard. - Freedom to take ownership and drive meaningful impact. - Unlimited vacation policy. - Competitive monthly compensation. - Apple gear. - Access to the latest AI technologies, industry training, and conferences. - Free in-office lunch and drinks. - Choice of location: Netherlands (Amsterdam/Rotterdam) or Barcelona, Spain. - Hybrid working environment with great offices in the city centre. # Our Commitment

Bynder Love is the principle that guides the way we grow our teams, support our employees, and celebrate our differences. At Bynder we strive to create a culture that embraces every Byndie because differences in background, experience, and perspective make Bynder even better. At Bynder a diverse, inclusive, and equitable workplace is one where all employees, whatever their ethnicity, color, sex, age, religion, disability, sexual orientation, gender identity, national origin, or physical and mental ability are valued and respected. Our commitment is for all Byndies to have the freedom to be their true, authentic selves. Just as we are never finished innovating, Bynder’s dedication to being An Even Better Bynder is a constant, evolving commitment that includes education, listening, and action. #LI-Hybrid #LI-MF1