AI Computer Vision Engineer

AI Computer Vision Engineer

Location: Kathmandu, Nepal
Type: Full Time
Department: Asia Technology
Experience: Mid Level

About Fusemachines

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.

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 full-time 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

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 problem solver
• Time management skills
• Excellent communication skills
• Strong analytical skills
• High degree of organization, individual initiative, and personal accountability
• Astute with high resilience and the ability to achieve results and milestones in uncertain development situations

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

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.