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Merantix Momentum
last mo.

Machine Learning Engineer - Talent Pool(m/w/x)

Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Data Science

Description

As a Machine Learning Engineer in this talent pool, you will engage in scoping projects, implementing innovative solutions, and collaborating with engineers to bring AI applications to life, ensuring you are at the forefront of exciting opportunities.

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Requirements

  • •Proficiency in software engineering and latest machine learning and deep learning technologies
  • •MSc or PhD in computer science, Machine Learning, or related technical field
  • •Strong programming skills in Python with experience in Deep Learning tasks and libraries like PyTorch
  • •Experience with one or more cloud providers (Google Cloud Platform, AWS, Azure)
  • •Proven ability to independently complete complex, real-world technical projects
  • •Experience in time series analysis and at least one of the following: Computer Vision, Natural Language Processing, Graph Neural Networks, Reinforcement Learning, Causal Inference
  • •Appreciation for sound engineering practices, including version control, clean code, code review, testing, CI/CD, and automation
  • •Strong ability to interact with clients, understand their problems, and design and explain complex technical solutions
  • •Fluency in English (German is a plus)

Education

Master's degree
OR
Doctoral / PhD

Work Experience

approx. 1 - 4 years

Tasks

  • •Scope machine learning projects
  • •Assess technical feasibility through client interaction
  • •Implement machine learning methods
  • •Apply methods to real-world use cases
  • •Contribute to the development of the internal AI stack
  • •Support the open source ecosystem
  • •Collaborate with data, backend, and frontend engineers
  • •Build production-ready AI solutions
  • •Drive machine learning projects from ideation to production

Tools & Technologies

PythonPyTorchGoogle Cloud PlatformAWSAzure

Languages

English – Business Fluent

German – Basic

Benefits

Flexible Working

  • •Flexible working hours

Additional Allowances

  • •Hardware allowance

Other Benefits

  • •Mobility & transportation support
  • •Immigration support

Healthcare & Fitness

  • •Sport membership

Learning & Development

  • •Learning and development budget
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