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Lead AI Engineer Amsterdam Orange Quarter

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Gevraagd

  • 37 - 40 uur
  • Medior/Senior
  • Engels (taal)

Aanbod

  • Vast contract
  • Thuiswerken
 

Vacature in het kort

Amsterdam
Join a dynamic German start-up that's changing the consumer and lifestyle goods industry with AI-driven solutions. As a Lead AI Engineer, you'll guide the technical direction of AI products and mentor the engineering team. Use your skills in NLP and machine learning to create complex systems and collaborate with product teams. Enjoy perks like real equity, remote work, and flexible arrangements. Embrace innovation and help businesses thrive in a fast-paced market. Discover why our team could be the perfect fit for you.
 

Over het bedrijf

Orange Quarter
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Volledige vacaturetekst

Our client is a German start-up redefining the consumer and lifestyle goods industry with their AI-driven solutions. They offer a SaaS platform that helps businesses with market insights, competitor analysis, and product development. Focused on efficiency and user-friendly design, they aim to make AI integration seamless for their customers. With a dynamic and innovative culture, they’re building tools that help businesses stay ahead in a fast-changing market.

What to expect:

As a Lead AI Engineer at Eyva, you will take responsibility for guiding the technical direction of our AI-driven products and mentoring the engineering team. You will use your expertise in building LLM-driven RAG systems, NLP, and machine learning to architect and implement complex systems while ensuring alignment with business needs. The role involves collaborating with product and engineering teams, evaluating new ideas and research, and contributing to internal tools that improve workflows. You will also stay updated on advancements in AI and actively apply relevant findings to enhance our solutions. This position requires strong leadership, technical skills, and the ability to work effectively in a dynamic environment.

Perks:
  • Real Equity
  • Remote Working
  • Flexible Working Arrangement

Requirements:
  • 5+ years of experience in Data Science and Machine Learning stack
  • Leadership Experience
  • 4+ years experience in Natural Language Processing
  • Experience building LLM-driven RAG systems
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