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Machine Learning Engineer - NLP 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 fast-growing green tech startup focused on helping organisations fight climate change with data insights. As a Machine Learning Engineer (NLP), you will improve their carbon intelligence platform by working with unstructured data and creating advanced systems. Collaborate with teams using Python and AWS SageMaker. Enjoy perks like remote work, flexible hours, stock options, and a learning stipend. Be part of a dynamic team dedicated to aligning profit with purpose. Explore further to see how this role aligns with your aspirations.
 

Over het bedrijf

Orange Quarter
Werving en selectie
Bedrijfsprofiel
 

Volledige vacaturetekst

Join a fast-growing green tech startup dedicated to empowering organisations to tackle the climate crisis through data-driven insights. Their innovative platform integrates carbon metrics into existing software, enabling businesses to monitor and reduce their carbon footprint. The remote-first organisation is based in Berlin, and has a commitment to aligning profit and purpose.

What to expect:

As a Machine Learning Engineer (NLP), you will play a pivotal role in enhancing the core of their carbon intelligence platform. This includes processing unstructured client data, designing advanced search and retrieval systems, and training and deploying machine learning models at scale. You’ll collaborate closely with cross-functional teams to develop innovative solutions that drive climate action, leveraging tools like Python, AWS SageMaker, and Apache Kafka. The ideal candidate will be excited to work in a fast paced, autonomous start-up environment.

Perks:
  • Remote First / Berlin Office
  • Flexible Working Hours
  • Stock Options
  • Learning and Development Stipend

Requirements:
  • 5+ years of machine learning engineering experience
  • Strong experience in Python and REST API development
  • Experience building scalable search and classification systems
  • Strong problem-solving skills and self-motivation
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