Computer Vision Software Engineer

We are seeking a highly motivated and experienced Machine Learning Engineer to join our team. The ideal candidate will be responsible for developing, testing, and deploying machine learning algorithms to enhance VIDIZMO Cognitive & Computer Vision Artificial Intelligence Capabilities & Features. They will be able to create and explain customized solutions for specific problems, such as customized neural networks, loss functions, optimizers, metrics. Additionally, the candidate will be responsible for developing applications and integrations with open-source computer vision and cognitive artificial intelligence services. standards.

VIDIZMO, a USA company headquartered in Tysons, Virginia, is a Microsoft Gold Applications & Cloud Partner recognized in Gartner Magic Quadrant for Enterprise Video Content Management. We provide Video Content Management systems to Fortune 5000 companies and Governments across the globe and are recognized in Gartner's Magic Quadrant and IDC MarketScape for Digital Evidence Management as one of the top 7 companies in the world. VIDIZMO products include EnterpriseTube and Digital Evidence Management System (DEMS). VIDIZMO DEMS helps public safety organizations to store, manage, process and digital evidence, while EnterpriseTube empowers customers to deliver Live as well as On-Demand Video Streaming to their audience, store and share multimedia content as well as perform Video and Audio Analysis using artificial intelligence.

Design, develop, test, and deploy machine learning algorithms to enhance VIDIZMO Cognitive & Computer Vision Artificial Intelligence Capabilities & Features

Create and explain customized solutions for specific problems, such as customized neural networks, loss functions, optimizers, metrics

Develop applications and integrations with open-source computer vision and cognitive artificial intelligence services

Perform research, development, and implementation of algorithms for image processing and computer vision

Perform qualitative and quantitative analysis of models developed

Stay up to date with the forefront of technology research

Participate in ownership of a system that will be a core component of our machine vision and image analysis products

Work collaboratively with cross-functional teams to deliver high-quality software products

Contribute to design, development, and scaling of high-quality, practical, reliable software

Preferably worked with GANs, familiar with synthetic data generation/synthetic imagery.

Essential Skills:

Strong programming experience with at least one modern language such as Python, C#, or C++, including object-oriented design

Hands-on experience with deep learning frameworks such as Pytorch or Tensorflow

Experience in computer vision and video analytics algorithms such as detection, classification, recognition, segmentation, and tracking

Experience in scaling and fine-tuning existing models

Ability to partake in deep learning architectural discussions and drive technical decision making

Preferred Skills:

Hands-on experience with datasets related to video & audio

Preferred development experience in Backend technologies i.e. C#, C, C++, ASP.NET

Experience in developing Transformer and CNN-based applications

Knowledge of NLP

Knowledge of object-oriented and functional design principles and best practice patterns

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

3+ years of relevant experience in machine learning engineering, computer vision, or related fields

Proven track record of designing and deploying machine learning models

Excellent problem-solving skills and the ability to work independently

Strong communication skills and ability to collaborate with cross-functional teams.

Benefits: Health Insurance (OPD/IPD), Separate Maternity Cover, Leave encashment, Car Support Program, Referral Bonus, EOBI, Bi-Annual Increment. Provident Fund, Career Growth, Bonus (benefits vary based on location)

Multiple Locations: Pakistan, India, UAE, Australia, Canada & USA (benefits vary based on location)