6 дней назад
Machine Learning Engineer (GenAI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (GenAI/Python): Designing, building, and owning AI-powered backend services and end-to-end AI systems with an accent on genAI design patterns, RAG, and agent orchestration. Focus on translating business needs into production solutions, developing conversational AI, and implementing scalable backend services.
Location: Hybrid in Rotterdam or Groningen, Netherlands
Company
builds digital platforms that connect data, optimize processes, and integrate AI.
What you will do
- Design, build, and maintain AI-powered backend services primarily using Python.
- Own the full lifecycle of AI features from scoping and prototyping to deployment and monitoring.
- Develop AI features across the stack, including APIs and data pipelines.
- Collaborate with clients and internal stakeholders to translate business needs into technical solutions.
- Implement engineering best practices for code quality, performance, scalability, and security.
Requirements
- 3–5 years of experience building production systems with a strong foundation in applied AI.
- Proven experience with GenAI design patterns, including RAG and agent orchestration.
- Strong Python backend skills (FastAPI or Django preferred).
- Experience with conversational AI and vector databases (e.g., Pinecone, Weaviate, pgvector).
- Proficiency with GenAI orchestration frameworks (e.g., LangChain, LlamaIndex).
- Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
Nice to have
- Experience with DevOps practices: CI/CD, infrastructure as code, monitoring and observability.
- Frontend exposure, preferably with React.
- Familiarity with image generation models (ControlNet, LoRA).
- Experience in a consultancy or agency environment.
Culture & Benefits
- Academy and a dedicated learning budget.
- Flexible hours and hybrid work options.
- 4 weeks of remote work from anywhere per year.
- Office lunches, snacks, and drinks.
- Bike plan with a 40% discount on commuting products.
- Loyalty days providing extra vacation after 3 and 6 years.
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