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AI/ML Developer Immediate Opening

No of Positions  No of Positions:   2

location Location: Ahmedabad

date Tentative Start Date:   August 01, 2021

Work From Work From : Any Location

rate Rate : $ 5  -  11 (Hourly)

experience Experience : 3 to 4 Year

Job Applicants : 5
Job Views : 214
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Job Category : Information Technology & Services
Duration : 3-6  Month
Key Skills Required Skills
AI/ML
Description
  1. Able to analyze the ML/DL algorithms that could be used to solve a given problem. Solving complex data problems using deep learning techniques in computer vision.
  2. knowledge about real-world problems, especially in the field of deep learning for image and video processing.
  3. Able to Verifying data quality, and/or ensuring it via data cleaning and supervision of the data acquisition process if more data is needed. Sourcing the available.
  4. Able to extend the existing ML/DL libraries and frameworks for customer’s custom development needs.
  5. Able to Defining data augmentation pipelines.
  6. M.E / M.Tech / MS in Electronics / E&C / Computer Science or PhD in Computer vision and Deep Learning is desirable.
  7. 3 to 6 years of experience with relevant work experience, including hands-on development experience in python/C/C++, CUDA programming, and experience in working with Tensorflow, Pytorch, and other ML/DL frameworks.
  8. Have experience in building highly optimized models for production-ready for edge and central deployment with minimal hardware footprint.
  9. Familiar with deep learning algorithms and computer vision. Working experience in the areas of computer vision, image/video processing, and algorithm development. Knowledge of concepts in computer vision (Object detection, labeling, etc.) and sensor fusion.
  10. knowledge of novel algorithmic concepts for radar signal processing, and combine novel deep learning methods with domain knowledge in fields such as object detection, sensor fusion, synthetic data generation, or model-based validation.
  11. Proficient with a deep learning framework such as TensorFlow, Pytorch, Keras, Caffe, MXNet, etc.
  12. Proficient with basic libraries for ML such as sci-kit-learn and pandas, etc.
  13. Have strong coding skills in Python, C/C++, Matlab scripting, and GPU inference optimization techniques.
  14. Proficient in debugging and testing skills.
  15. Familiarity with Docker and Kubernetes-based architectures for model deployment and scaling to handle the highly optimized parallel deployment requirements.
  16. Familiar with Linux and proficiency with OpenCV and video streaming pipelines.
  17. Proactive with strong problem solving skills and good communication (verbal and written) and presentation skills.
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