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| Job Location | Cambridge |
| Education | Not Mentioned |
| Salary | Salary negotiable |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent, full-time |
Artificial Intelligence Technical Lead (AI Team Lead)Cambridge, United Kingdom£DOETEC Partners are working exclusively with a one of the most successful IoT companies, in the World. Established within the last 10 years, they have grown from a handful of people, to 300 engineers Worldwide! As a result, they are looking to recruit a Technical Leader to be involved in a major initiative around Artificial Intelligence, to provide the best-in-class Deep Learning experience. You will be leveraging Neural Network acceleration in IP and SoCs from their internal ecosystem, via widely adopted AIL software frameworks and libraries.We are seeking a candidate to lead this highly technical effort from architecting technical solutions, through to coaching upstream development practices. Becoming a subject matter expert. You will need to be experienced in the main deep learning frameworks, such as: Caffe, Caffe2, MXNet, Tensorflow, Torch, etc., the key trained model description formats (ONNX, NNEF) and hardware abstraction APIs (GPU, DSP, Android NNAPI, Android NN HAL, Linux NN).Minimum Requirements:* Demonstrated senior engineering management experience* Relevant undergraduate degree* Extensive AI/Machine Learning experience* Experience in deploying trained models with Caffe and Tensorflow* Experience in scientific computational libraries, FFT, BLAS, Eigen, Sparse* Experience in compiler technology, GCC, LLVM* Experience in continuous integration* Familiarity with server systems and cloud architecture* Familiarity with product delivery including Agile release methodology* Familiarity with open source tools, culture and processesIf you would like some more information, please contact Harry Calvert at TEC Partners and apply below. Required skills
Keyskills :
Agile Hardware Machine Learning Team Lead Manager Cloud AI IoT Caffe Deep learning Tensflow