Job role insights

  • Date posted

    October 19, 2024

  • Closing date

    December 18, 2024

  • Offered salary

    €70,000 - €120,000/year

  • Experience

    3 - 5 Years

Description

Machine Learning Engineer

Job Description:

    We are seeking a talented Machine Learning Engineer to join our dynamic team in Munich. In this role, you will focus on advancing our machine learning systems, especially in the field of computer vision. Your efforts will be crucial in training, evaluating, and refining our training pipelines, ensuring that we deliver high-quality data-driven solutions. You will play a significant role in the development and enhancement of various data-driven systems at OCELL, contributing to innovative and effective technological solutions. Upholding high standards of code quality and software engineering practices is essential, as you will collaborate with a small, agile team where quick decision-making is key. Your work will not only impact our projects but also contribute to our mission of climate protection, allowing forests to thrive.

IT Languages:

  • Python
  • Git

As a Machine Learning Engineer, your responsibilities will include improving our machine learning systems and developing data-driven solutions.:

    Enhance machine learning systems with a focus on computer vision;; Train, evaluate, and optimize training pipelines;; Assist in the development of various data-driven systems;; Promote code quality and software engineering excellence within the team

Spoken Languages:

  • English;; German

Skillset:

  • Machine Learning
  • Computer Vision
  • Software Engineering
  • Data Engineering
  • Mathematics
  • Statistics

Soft Skills:

  • Team-oriented
  • Adaptable
  • Problem-solving
  • Strong communication skills

Qualifications:

  • Master's degree in Computer Science, Mathematics, Data Engineering, or Data Science or equivalent practical experience
  • Proven experience as a Machine Learning Engineer with a strong focus on computer vision
  • Deep understanding of machine learning systems
  • Solid foundation in mathematics, statistics, and scientific principles

Years of Experience:

    3

Location:

    Germany

Job Benefits:

  • Impact Day to support social or ecological projects
  • Choice of Wellpass membership, public transport subsidy, or bike lease
  • Annual training budget of €1,000 for external opportunities
  • Flexible working hours and the option to work remotely for part of the week

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • We foster an open and inclusive culture that encourages collaboration among diverse backgrounds. We believe that the best ideas emerge when different perspectives come together. Our team values innovation and takes pride in contributing to meaningful projects that have a positive environmental impact.

Opportunities For Advancement:

  • Internal training courses, Professional development opportunities

Visa Sponsorship:

    Available

Interested in this job?

49 days left to apply

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