Deep Learning Engineer

Deep Learning Engineer

3 Nos.
45508
Full Time
PS/1308/DLE/Chennai
1.0 Year(s) To 3.0 Year(s)
4.00 LPA TO 6.50 LPA
IT Software- Application Programming / Maintenance
IT-Software/Software Services
B.Sc - Computers; B.Tech/B.E. - Computers; B.Tech/B.E. - Electronics/Telecommunication; BCA/BCS - Computers; M.E./M.Tech - Computers; M.E./M.Tech - Electronics/Telecomunication; M.Sc / MS Science - Computers; MCA - Computers
Job Description:

Key Responsibility :

Key Responsibilities :

  • You will be working with the core R&D team which drives the computer vision and image
    processing development.
  • Build a deep learning model for our data and object detection on large-scale images.
  • Design and implement real-time algorithms for object detection, classification, tracking, and segmentation
  • Coordinate and communicate within computer vision, software, and hardware teams to design and execute commercial engineering solutions.
  • Automate the workflow process between the fast-paced data delivery systems.

Required Skills :

 

  • Professional experience in computer vision and machine learning.
  • Extensive use of Python.
  • Experience in python libraries such as OpenCV, Tensor flow, and Numpy.
  • Familiarity with a deep learning library such as Keras and PyTorch.
  • Worked on different CNN architectures such as FCN, R-CNN, Fast R-CNN, and YOLO.
  • Experienced on hyperparameter tuning, data augmentation, data wrangling, model optimization, and model deployment.
  • Dock erization, AWS modules, and Production level modeling.
  • Experience with Qt, Desktop application development, Desktop Automation
  • Knowledge on Satellite image processing, Geo-Information systems, GDAL, Qgis, and ArcGIS
Company Profile

Our client  started to serve one purpose – make the power of big data and artificial intelligence easily accessible for every business, at every stage of their operational cycle. With their image analytics platform, businesses can digitize their assets with a single pane for all teams, avoid operational and organizational silos, mitigate risks, and increase profitability. While predominantly used by players in the renewable energy and farming sectors, their team is working to expand capabilities across multiple industries.

Apply Now

  • Interested candidates are requested to apply for this job.
  • Recruiters will evaluate your candidature and will get in touch with you.