یہ کمپنی اب اس نوکری کیلیۓ مزید سی ویزنہیں لے رہی۔

Computer Vision Lead Researcher

AuditXPRT

درخواست بھیجیں

Job Responsibilities

Develop and productive computer vision algorithms
Build highly scalable computer vision algorithms.
Strong problem-solving skills and capable of working with developers, engineers and product leadership to create solutions.
Maintain full responsibility for deliverables-including definition, completion, and technical quality, as well as assuring consistency across the responsibility span.
White-board (i.e. brainstorm, problem solve) with technical staff to develop solutions for challenging problems, work with a small team to implement/test those solutions, and then quantify their accuracy.
Documentation and formulation of report and work progress to management and clients.

Qualification / Requirements

MS. Or Ph.D. in Computer Science, data science or related fields with a focus on Computer Vision/ Image Analysis and Machine/Deep learning.
Minimum of 2+ years of industrial experience and research experience working technical challenges associated with machine learning and, computer vision and Image processing.
Deep hands-on experience building computer vision systems involving algorithm development in fields such as Document Analysis, Document Parsing, Document structure extraction, image segmentation,
Experienced in information extraction from SCAN documents preserving the semantics of document.
Hands-on experience of using OpenCV, OpenVX, scikit-image, NumPy, SciPy, Pandas, Matplotlib, and scikit-learn.
Hands-on ability to create Deep Neural Network models on machine learning platforms such as Tensor Flow, Keras or Pytorch.
Demonstrated ability to write Python code for quick demonstration of ideas as well as robust, efficient, scaled-up software systems.
Experience cleaning and wrangling real-world messy data. ▪ Adapt research done in academia and industry to solve problems.
Good research background, with publications in well renowned conferences/journals.
Must possess leadership skills and have lead a team.
Following the Agile methodology (Sprints) and daily stand-ups