Key Responsibilities
- Participate in the full life-cycle of machine learning projects (requirements gathering, planning, dataset curation, model training, testing, and deployment).
- Conduct research on cutting-edge technologies in Deep Learning and integrate them into real-world solutions.
- Maintain and enhance internal AI technologies.
- Troubleshoot machine learning and computer vision issues.
- Collaborate with team members on projects.
Qualifications
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Required:
- Bachelor‘s degree or higher in relevant fields (Computer Science, Machine Learning, etc.).
- At least 5 years of experience in Deep Learning and Computer Vision.
- Strong coding skills in at least one of the following programming languages: Python (preferred), C/C++, …
- Deep knowledge in various computer vision and deep learning tasks.
- Ability to work independently and collaboratively.
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Preferred:
- Understanding of machine learning theories and relevant publications.
- Experience with Linux, shell scripts, Docker.
- Experience in robotics or related technologies.
- Sensitivity to data and business implications, critical thinking skills.
- Familiarity with other machine learning domains (NLP, recommendation systems, etc.).
Benefits
- Competitive salary and healthcare package.
- Hybrid and flexible work environment.
- Team lunches and an enthusiastic international work setting.
- Opportunities for training and career advancement.