Machine Learning Engineer
Core
Design, build, and deploy AI-powered features for a digital asset management platform, focusing on content discoverability, automation, and intelligent workflows.
Role type
Machine Learning Engineer (AI/LLM focus)
Builds
AI-powered features for Bynder's DAM platform (AI Search, AI Agents, content enrichment, governance, compliance, transformation)
Domain
B2B SaaS / Digital Asset Management / Generative AI
Deliverable
production ML models | product features
Required skills
Large language model architectures (transformers, attention, embeddings), AWS AI services (Bedrock, SageMaker, Lambda), embedding-based systems and vector databases, agentic AI frameworks (LangChain, LangGraph, CrewAI), Python, REST APIs, Docker, CI/CD, linear algebra, probability, statistics, optimization
Preferred skills
Prompt engineering, LLM evaluation frameworks, MLOps practices, computer vision, image/video processing, AI-assisted coding tools, GDPR/data privacy knowledge, B2B SaaS experience
Technologies
AWS Bedrock, AWS SageMaker, AWS Lambda, LangChain, LangGraph, CrewAI, Python, Docker, Git
Responsibilities
Design and implement AI solutions for content discoverability and automation; Build and optimize embedding-based systems for semantic retrieval; Develop agentic AI workflows for asset enrichment and compliance; Create production-quality prototypes and proof-of-concepts; Collaborate with engineering to handoff prototypes to production; Validate AI prototypes with product stakeholders and end-users
Seniority
Mid-Senior (3+ years experience)
