Rotterdam
2 weeks ago

Machine Learning Engineer
Bynder
Rotterdam
2 weeks ago
Machine Learning Engineer
Bynder seeks a Machine Learning Engineer to join its AI Labs team in Rotterdam. The role involves designing, building, and deploying AI-powered features for the company's digital asset management platform. Candidates need 3+ years of experience with large language models, AWS AI services, and strong software engineering skills.
AIOn-siteFull-timeMid LevelMachine Learning EngineeringAI Engineering
Machine Learning Engineer
Bynder seeks a Machine Learning Engineer to join its AI Labs team in Rotterdam. The role involves designing, building, and deploying AI-powered features for the company's digital asset management platform. Candidates need 3+ years of experience with large language models, AWS AI services, and strong software engineering skills.
AIOn-siteFull-timeMid LevelMachine Learning Engineering
Salary
Not specified
Core Qualifications
Technical (Must-have)
Machine Learning EngineeringAI EngineeringLarge Language ModelsTransformerAttention MechanismsTokenizationEmbeddingsInferenceAWS BedrockAWS SageMakerAWS LambdaVector DatabasesSemantic SearchRetrieval-Augmented GenerationPythonREST APIsGitDockerCI/CDLinear AlgebraProbabilityStatisticsOptimizationClassical ML
Soft Skills
Self-starterIntellectual CuriosityCommunicationGrowth MindsetResponsibilityBias AwarenessFairnessTransparency
Preferred Qualifications
Technical (Nice-to-have)
Prompt EngineeringContext EngineeringLLM Evaluation FrameworksMLOpsModel MonitoringA/B TestingComputer VisionImage ProcessingVideo ProcessingAI-assisted Coding ToolsGitHub CopilotCursorClaude CodeGDPRData PrivacyB2B SaaSEnterprise Software
Key Responsibilities
- Design, build, and deploy AI-powered features for Bynder's DAM platform
- Architect and implement solutions using AWS AI services and LLM APIs
- Build and optimize embedding-based systems for AI search, semantic retrieval, and content recommendation
- Develop agentic AI workflows for asset enrichment, tagging, transformation, and compliance checking
- Create production-quality prototypes and proof-of-concepts
- Stay current with the AI landscape and bring new ideas
- Collaborate with engineering organization for smooth handoff of prototypes
- Collaborate with product stakeholders and end-users to validate AI prototypes
Machine LearningAIAWSLLMPythonRotterdamDAMAgentic AIR&DB2B SaaS