Senior Machine Learning Engineer

Senior Machine Learning Engineer Full-Time

RSS

Industry

Information Technology

Career Level

Specialist

Primary Experience in

Information Security

Qualification

Master’s or BS in Computer Science, Electrical Engineering or any related fields (Statistics, Applied Math, or Computational Neuroscience)

Primary Skills

  • Experience in the following area: Background in DL, ML algorithms and model development.
  • Experience designing and developing professional software using Python, C++.
  • Fluency and experience in python, OpenCV, Numpy, Pandas.
  • Familiarity and proficiency with DL, ML frameworks (eg. TensorFlow, Keras, AWS Sagemaker) is highly required.
  • Experience in 3D computer vision and video analytics algorithms, such as image segmentation,3d reconstruction, object and motion detection, tracking and classification.
  • Experience in machine learning algorithms for vision problem

Position KPI

  • Development and optimization of state-of-the-art deep learning models using deep Learning frameworks, covering computer vision, object detection and localization.
  • Work with framework software developers to facilitate end-to-end optimization.
  • Distribute the model training and inference into multi-node systems, allowing scalable optimization and performance.
  • Design and enable next generation deep learning systems.
  • Perform Data Cleansing Data preparation through Digital Image Processing.
  • Will work on change detection algorithms (background subtraction etc)
  • Documentation and formulation of report and work progress to management and clients.
  • Articulate the model performance and evaluation / results through ROC curves and evaluation matrix.
  • Meet the coding style and standards requirements in python Pep 8, Flake 8 etc.
  • Follow the Agile methodology (Sprints) and daily stand-ups.

Years of Experience

2 years

Overview

  • Location: Islamabad
  • Job Title: Senior Machine Learning Engineer
Apply For This Job

Apply For This Job

Please Add resume from the dashboard