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Document Machine Learning Engineer
hace 3 meses
Would you like to be part of an innovative company? Are you interested in contributing ideas that will help you develop as a professional or expand your knowledge?
Are you passionate about Machine Learning and do you want to be part of a benchmark company in full expansion?
We are looking for a Machine Learning Engineer who will be part of the team at our headquarters in Pamplona, Spain.
Your main mission will be to develop and productize cutting-edge biometry and antispoofing technologies based in neural networks, bringing state-of-the-art solutions from research to customers and end users.
Main tasks:
- Develop and productize novel algorithms and solutions in antispoofing.
- Elaborate long-term plans and strategies in face biometrics and antispoofing.
- Collaborate with cross-functional teams in the Technology and Operations areas to bring the solutions from research to end users.
- Participate in cutting-edge research in the areas of biometry, antispoofing, deepfakes, generative AI, etc.
Qualification:
- MSc or Engineering Degree in Computer Science, Telecommunication, or related field.
- It will be a plus: PhD in Machine Learning, Robotics, or related field.
- 3 years of experience developing Computer Vision or Machine Learning solutions.
- 3 years of experience in SW development in Python or C++.
- Experience working in small teams.
- 2 years of industry experience in the fields of biometry, object tracking, or generative AI.
- Industry experience developing Computer Vision or Machine Learning technologies for edge devices (smartphones, FPGAs, custom HW).
- Experience with MLOps frameworks.
- Python, Artificial Neural Networks, Computer Vision, Object Detection and/or classification.
- Valuable: C++, SCRUM experience.
- Excellent verbal and written communication skills.
- Problem-solving skills and critical thinking.
- Self-learning.
- Advanced level of English.
Being part of a high-tech company, with its own product and operating worldwide in critical environments, with a global technological and human challenge ahead.
Possibility to develop a professional career, and be part of a team composed of highly qualified and experienced personnel.
- Fixed and variable remuneration, very competitive and in line with the candidate's experience.
- Teleworking according to company policy.
- Collaborative and multidisciplinary work environment.
- Continuous training.
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