Principal Engineer - Ai & Computer Vision

• Experience with object classification, gesture recognition or human pose estimation and training deep neural networks using synthetic and artificial data.
• Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods and linear algebra.
• Strong project experience involving algorithm development for computer vision applications for face detection, face tracking (general object classification, detection, verification, detection, recognition, tracking)
• Demonstrated past algorithm development in at least one area within machine learning like neural networks, clustering.
• Good knowledge of developing the machine learning applications using python for embedded systems
• Proficient in C/C++/Python programming
• Industry/academic experience with machine learning and computer vision programming using libraries such as PyTorch, TensorFlow, OpenCV (other notable python libraries)
• Responsible for working on projects that will include the rapid prototyping and developing proof of concepts in the computer vision area for automotive applications.
• Experience of implementation in Embedded Linux platforms.

• Self-motivated individual with passion towards state-of-the-art computer vision technologies.
• Strong written and oral communications skills, Clear communication skills (English); Knowledge of German language would be an advantage.
• Embodies and inculcates organization values and creates a learning culture to self and others in the team.
• Ability to work effectively within a team structure as well as being a strong individual contributor. • Ability to effectively interface with and brief technical solutions to stakeholders

• Has demonstrated undisputed will to succeed and has an ability to bring out the best solutions taking into account the engineering feasibility, costs and timeline in mind.
• Is purpose-driven, entrepreneurial, driven-to-win. Is able to keep the customer's view point in mind in coming-up with effective solutions.
• Motivated and passionate about learning new technologies, creates a learning culture to self and others in the team.

• Masters/Doctorate in Computer/Electronics/Electrical Engineering with specialization in Machine learning or related fields.
• 8- 12 years of work experience in a matrix organization preferably with a global presence

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