# Machine Learning Engineer - AI Labs
Bynder AI Labs is seeking a Machine Learning Engineer to design, build, and deploy AI-powered features for our digital asset management platform.
## Responsibilities
- Design, build, and deploy AI-powered features for Bynder's DAM platform, focusing on content discoverability, automation, and intelligent workflows
- Architect and implement solutions using AWS AI services (Bedrock, SageMaker, Lambda) and large language model APIs
- Build and optimize embedding-based systems for AI search, semantic retrieval, and content recommendation
- Develop agentic AI workflows that automate complex tasks such as asset enrichment, tagging, transformation, and compliance checking
- Create production-quality prototypes and proof-of-concepts that demonstrate the value of new AI capabilities to stakeholders
- Stay current with the rapidly evolving AI landscape and bring fresh ideas and techniques to the team
- Collaborate with the broader engineering organization to ensure smooth handoff of prototypes into production systems
- Collaborate directly with product stakeholders and end-users to validate AI prototypes and gather feedback
## Requirements
- Minimum 3+ years of experience in Machine Learning Engineering, AI Engineering, Data Science, or similar role
- Strong understanding of large language models: 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 (LangChain, LangGraph, CrewAI, or similar)
- Strong software engineering fundamentals: Python, REST APIs, Git, Docker, and CI/CD
- Solid foundation in mathematics: linear algebra, probability, statistics, and optimization
- Bachelor's degree in Computer Science, AI, Mathematics, Physics, or related field
- Great communication skills in English
- Self-starter mentality with intellectual curiosity and passion for AI
- Responsible approach to AI considering bias, fairness, transparency, and real-world impact
## Bonuses
- Master's degree or PhD in relevant field
- Experience with prompt engineering, context engineering, and LLM evaluation frameworks
- Knowledge of MLOps practices: model monitoring, A/B testing, and deployment pipelines
- Experience with computer vision or image/video processing
- Proficiency with AI-assisted coding tools (GitHub Copilot, Cursor, Claude Code)
- Familiarity with GDPR and data privacy considerations for AI systems
- Experience in B2B SaaS or enterprise software environment
## What we offer
- Challenging work environment in dedicated AI innovation team
- Flat hierarchy with meaningful ownership and impact
- Unlimited vacation policy
- Competitive monthly compensation
- Apple gear
- Access to 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