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Founder CEO/CTO, Shama AI_FlexCo |Quantum Physicist & Mathematician |Founder CEO QDeepTech GmbH |Investment-DeepTech Innovations and R&D |…
Role Description
This is a full-time hybrid role for a Deep Learning AI Engineer. The job involves developing and implementing deep learning architectures and optimizing deep learning networks for real-time performance. Work will primarily be based in Vienna, Austria. Preferably, candidates hold a valid EU working permit.
Primary Task: The Candidate has in-depth experience withthe latest state-of-the-art deep learning models and is able to build models from scratch, modify layers, train the models, work on the data, and optimize themodel architectures.
Qualifications
* Bachelor’s/Master’s/Ph.D. degree in Computer Science/AI/Applied Mathematics/Physics or related fields, specialized in audio, acoustics, and speech signal processing.
* 3+ years of experience in the field.
* Mastery in Deep Learning Neural Networks, Pattern Recognition, optimization techniques, GAN models, Large Language Models, and related technologies.
* Mastery of statistical models and algorithms, linear algebra, calculus, complex analysis, and information theory. Ability to develop new algorithms and mathematical models.
* Research and work experience in one or more of the following areas: Audio Digital Signal Processing, Speech and Voice Recognition, Voice Biometrics, Sound Event Detection, Acoustic Modeling, Speech and Voice Synthesis, and related applications.
* Strong coding expertise in programming languages such as C, C++, and Python, their relevant libraries, and RTC.
* Experience with Deep Learning/ Machine Learning Frameworks (Tensorflow, PyTorch, etc.)
* • Ability to design and implement solutions through programming languages (Python, C++, etc.)
* Experience in developing, implementing, and deploying algorithms for real-time computation ( RTC).
* Expertise in implementing and deploying solutions in real-world applications.
* Strong critical thinking and problem-solving skills with excellent attention to detail.
* Experience with publications and benchmarking.
* Excellent communication skills with the ability to collaborate with cross-functional teams and present complex technical ideas to technical and non-technical audiences.
Application can be done also through the Website: https://shama.ai/career/
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
* Industries
Technology, Information and Internet
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