Ai (artificial Intelligence) Engineer Job in Einfochips
Ai (artificial Intelligence) Engineer
Einfochips
4+ weeks ago
- Pune, Pune Division, Maharashtra
- Not Disclosed
- Full-time
Job Summary
Qualification:
B.E./B.Tech. in Computer Science or Electrical and electronics or any equivalent degree 2 to 3 years of work related experience in Deep learning and Computer vision is necessary. Programming skills required in C,C++ and Python Strong fundamentals on Deep learning techniques, Computer vision and image processing concepts Strong fundamentals on object detection and image segmentation techniques. Experience in working with Deep learning frameworks like Tensorflow, keras, Caffe and Pytorch. Experience with designing, building state of art computer vision models like Yolo, Mobilenet, Resnet etc. Experience with designing, building, and optimizing data and model training pipelines. Experience in working with Docker, Kubernetes is a plus. Strong problem-solving skills with excellent written, verbal and presentation skills.
Work responsibilities
Understand the pipeline and deploy models on edge devices like Nvidia Jetson Nano, Jetson Xavier, Snapdragon 835 etc. Use optimization tools like TensorRT, to develop a compressed and optimized model To work on image processing platforms like FastCV, Halide, Deep stream etc. as per requirement. Design end-to-end pipeline, code, train, test and deploy models Open to work in a dynamic environment
B.E./B.Tech. in Computer Science or Electrical and electronics or any equivalent degree 2 to 3 years of work related experience in Deep learning and Computer vision is necessary. Programming skills required in C,C++ and Python Strong fundamentals on Deep learning techniques, Computer vision and image processing concepts Strong fundamentals on object detection and image segmentation techniques. Experience in working with Deep learning frameworks like Tensorflow, keras, Caffe and Pytorch. Experience with designing, building state of art computer vision models like Yolo, Mobilenet, Resnet etc. Experience with designing, building, and optimizing data and model training pipelines. Experience in working with Docker, Kubernetes is a plus. Strong problem-solving skills with excellent written, verbal and presentation skills.
Work responsibilities
Understand the pipeline and deploy models on edge devices like Nvidia Jetson Nano, Jetson Xavier, Snapdragon 835 etc. Use optimization tools like TensorRT, to develop a compressed and optimized model To work on image processing platforms like FastCV, Halide, Deep stream etc. as per requirement. Design end-to-end pipeline, code, train, test and deploy models Open to work in a dynamic environment
Experience Required :
2 to 4 Years
Vacancy :
2 - 4 Hires
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