Machine Learning Engineer
27 (views)
Job role insights
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Date posted
October 12, 2024
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Closing date
December 11, 2024
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Offered salary
€70,000 - €120,000/year
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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?
43 days left to apply