
11 - 50 employees
đź Consulting
đŚ Logistics
đ¤ Artificial Intelligence
đ° Seed Round on 2018-08
Consulting ⢠Logistics ⢠Artificial Intelligence
CVEDIA is a company that specializes in AI video analytics and computer vision solutions, powered by synthetic data. Their flagship product, CVEDIA-RT, offers a comprehensive software stack with numerous pre-installed solutions for video analytics that can be tailored to various use-cases, providing users with the ability to deploy AI on multiple hardware platforms without the need for extensive technical expertise. CVEDIA emphasizes the use of synthetic data to enhance accuracy, speed, and affordability of their solutions, allowing clients to avoid the costs associated with traditional data collection and processing. The company offers long-term support, custom solution development, and a seamless deployment process to edge devices, ensuring flexibility and efficiency for customers in industries like wildlife protection and thermal imaging systems.
đĽ 1 minute ago
đ Anywhere in the World
â° Full Time
đĄ Mid-level
đ Senior
đď¸ Computer Vision Engineer
đť Ghost score 15%
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11 - 50 employees
đź Consulting
đŚ Logistics
đ¤ Artificial Intelligence
đ° Seed Round on 2018-08
Consulting ⢠Logistics ⢠Artificial Intelligence
CVEDIA is a company that specializes in AI video analytics and computer vision solutions, powered by synthetic data. Their flagship product, CVEDIA-RT, offers a comprehensive software stack with numerous pre-installed solutions for video analytics that can be tailored to various use-cases, providing users with the ability to deploy AI on multiple hardware platforms without the need for extensive technical expertise. CVEDIA emphasizes the use of synthetic data to enhance accuracy, speed, and affordability of their solutions, allowing clients to avoid the costs associated with traditional data collection and processing. The company offers long-term support, custom solution development, and a seamless deployment process to edge devices, ensuring flexibility and efficiency for customers in industries like wildlife protection and thermal imaging systems.
⢠Learn, maintain, and improve the synthetic data pipeline and automated training system ⢠Take ownership of a model and improve it with an agent loop that generates its own data ⢠Build closed loops where agents train detectors and classifiers, test them against validation sets, and improve them with minimal human input ⢠Design systems that handle field false positives, flag uncertain detections, and automatically fix the rest ⢠Lead research on vision-language models, fine-tune them for specific tasks, and use agents to track current techniques ⢠Solve detection and classification problems for customers and partners by building new models or extending existing ones ⢠Apply agents to QA automation and code bases that find and fix their own bugs ⢠Share successful approaches with the team and present results to customers when needed
⢠Advanced English (C1) proficiency, with the ability to communicate fluently and handle complex, fast-paced technical and professional tasks ⢠Experience building personal agent harnesses or agentic workflows, with demonstrable work ⢠Experience running many agents simultaneously, including handling inter-agent communication, token use, and task completion verification ⢠Professional software engineering experience on both Windows and Linux ⢠Experience with Git and an issue tracker ⢠Experience fine-tuning or quantizing open-source models, such as training LoRAs ⢠Experience running open-source models locally ⢠Knowledge of the model landscape from early GPT models to current open-source models, including their strengths and limitations ⢠Clear communication with team members and customers ⢠Passion for AI and agents, and willingness to experiment with new tools and ideas ⢠English-only resume/CV submission ⢠Applicants from every background and country welcome
⢠Fully remote work ⢠Access to Claude, Codex, and self-hosted models every day with no limits on applying them to work ⢠Opportunity to work on models already running in production on edge boxes around the world ⢠Direct collaboration with the whole team and influence over company-wide AI workflows ⢠Collaboration with colleagues interested in agent behaviour, harness design, and model quirks
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