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.

Gehalts-Prognose

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