Vor über 30 Tagen veröffentlicht

Machine Learning Engineer (Python, REST, ML Ops)

Machine Learning Engineer (Python, REST, ML Ops)

Machine Learning Engineer (Python, REST, ML Ops)

Machine Learning Engineer (Python, REST, ML Ops)

Wasteer

Computer-Software

Berlin

  • Verifizierte Job-Anzeige
  • Art der Anstellung: Vollzeit
  • 59.000 € – 87.500 € (von XING geschätzt)
  • Hybrid

Machine Learning Engineer (Python, REST, ML Ops)

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Über diesen Job

Intro

At Wasteer, we’re pioneering AI-driven solutions to revolutionize waste management. Our goal is to turn waste into a resource through innovative digital platforms, empowering the shift to a circular economy. Backed by NEEW Ventures, we have the expertise and resources to make a lasting impact.

We’re looking for a passionate Machine Learning Engineer to join our team in Berlin. If you’re excited about integrating AI/ML systems into real-world applications and delivering exceptional results, we want to hear from you.

Tasks

What you'll do

  • Develop and integrate AI/ML systems to optimize processes in waste management.
  • Manage the full lifecycle of machine learning models, from development to deployment, using ML Ops tools.
  • Design and maintain RESTful APIs for seamless interaction with AI systems.
  • Work with large datasets to create innovative, scalable solutions.
  • Collaborate with developers and product managers to align AI solutions with business goals.

Requirements

What we're looking for

  • Skills: Proficiency in Python, experience with REST APIs, and knowledge of ML Ops tools.
  • Mindset: A passion for leveraging AI/ML to solve complex, real-world problems.
  • Collaboration: A team player who thrives in a dynamic, fast-paced environment.
  • Drive: A hunger for learning, improving, and delivering exceptional results.
  • Focus: A commitment to building practical, scalable systems that deliver measurable impact.

Closing

Why join us?

  • Impact: Contribute to sustainable solutions that redefine waste management.
  • Culture: Be part of an ambitious, international team in Berlin.
  • Collaboration First: We prioritize in-person teamwork to foster creativity and innovation.
  • Growth Opportunities: Shape the future of our AI/ML systems while growing your skills.

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