AI Computer Vision Engineer in Fusemachines

Closed job - No longer receiving applicants

Fusemachines is a leading AI strategy, talent, and education services, provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 250 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world.

Funciones del cargo

About the role

The AI Computer Vision/Machine Vision Engineer will develop novel AI-driven object recognition and video analysis components supporting object, image, and action recognition in multiple domains with a heavy emphasis on pose estimation. This is a remote, full-time consulting position.

Role scope

Design, implement, train, and improve new and existing AI Computer Vision algorithms
Analyze and curate appropriate image and video datasets to support recognition tasks
Set up test and evaluation environment for image processing and machine vision applications including data collection, processing, and annotation
Collaborate with engineers to identify and leverage the latest best practices around image processing, machine vision, and machine learning
Select and tune the appropriate algorithm, models, and techniques to given situations, problems, and issues
Performs ad-hoc analysis and presents results in a clear manner
Prepares reports, charts, graphs, and other statistical information

Requerimientos del cargo

Requirements for the role

Proven work experience as an AI Computer Vision Engineer/Machine Vision Engineer or similar role
Expertise in one of the major AI libraries (PyTorch, Tensorflow, Open.ai)
Pose estimation, prefer MediaPipe
Python expertise, with at least basic object-oriented python experience
Object detection for bounding boxes, semantic and instance segmentation
Recurrent Neural Networks with LSTM
Multidimensional neural networks
Tuning neural networks
Automated preparation and organization of training and test data
Experience with Linux and GPU-accelerated AI
Familiarity with OpenCV and similar frameworks
Experience with developing computer vision AI systems targeting object/feature recognition for single images and motion/activity recognition for video sequences
Excellent communication skills

Qualification Requirements

Bachelor’s degree in computer science, data science, IT, or related field of study or equivalent experience
5+ years of experience as an AI Computer Vision Engineer/Machine Vision Engineer

Conditions

Fully remote You can work from anywhere in the world.

Remote work policy

Fully remote

Candidates can reside anywhere in the world.