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Senior Machine Learning Engineer -Computer Vision

MMerantix Momentum
Seniority
Senior
Model
In-Office
Sector
Enterprise Software
Salary
Undisclosed
Contract
Full-Time

About the role

The Mission of this role is to bring state-of-the-art deep-learning methods to real-world applications from ideation and prototyping to production. You will independently scope, plan, manage, and drive machine learning projects from ideation to the production phase.

What you'll do

  • Acting as a tech lead in major projects
  • Scope machine learning projects and their technical feasibility through client interaction
  • Contribute to the next-generation AI stack and grow the open source ecosystem
  • Implement machine learning methods and apply them to real-world use cases
  • Collaborate with data-, backend-, and frontend engineers in order to build production-ready AI solutions
  • Support junior colleagues by providing guidance, mentorship, and assistance with professional development and project execution
  • Support the manager in the definition and execution of the Computer Vision strategy

What you'll need

  • MSc/PhD in computer science, Machine Learning, or related technical field
  • Relevant programming skills in Python with a variety of Deep Learning tasks and experience with libraries like PyTorch
  • Expertise in one or more of the following cloud providers: Google Cloud Platform, AWS, Azure
  • Relevant experience in independently completing complex technical projects
  • Comprehensive understanding of the Computer Vision landscape & toolkits
  • You appreciate sound engineering practices like version control, clean code, code review, testing, CI/CD, and automation
  • Ability to interact with clients, to understand their problems, and to design as well as to explain complex technical solutions
  • Fluency in English and German proficiency (minimum B1 level)

What they offer

  • Unique insights into applied machine learning research and development
  • Annual learning and development budget for conferences or educational resources
  • Visa sponsorship available
  • Flexible work-from-home policy and working hours
  • Hardware allowance for all necessary equipment
  • Monthly allowance for mobility, sports, or groceries benefits
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