WASTEER

Machine Learning Engineer (Python, REST, ML Ops)

WASTEER Berlin

Stellenbeschreibung:

At Wasteer were 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.

Were looking for a passionate Machine Learning Engineer to join our team in Berlin. If youre 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.

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.

Key Skills

APIs,Docker,Jenkins,REST,Python,AWS,NoSQL,MySQL,JavaScript,Postgresql,Django,GIT

Employment Type: Employee

Experience: years

Vacancy: 1

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Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    04 Nov 2025
  • Standort:

    Berlin

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