Senior Machine Learning Engineer

February 4

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Colossyan

Colossyan is a company providing an AI-powered video creation platform designed for workplace learning and corporate communications. It offers features such as AI avatars, voice cloning, text-to-video conversion, and auto-translation to streamline the production of training and educational videos. Users can create personalized, interactive video content by turning documents into videos and incorporating subtitles, quizzes, and interactive scenarios. The platform is designed to reduce production costs and improve the efficacy of employee training, onboarding, and compliance training, making it suitable for enterprises seeking to enhance their internal and external communications using technology-driven solutions.

marketing β€’ video β€’ content β€’ synthetic media β€’ data

11 - 50 employees

πŸ€– Artificial Intelligence

πŸ“š Education

🏒 Enterprise

πŸ’° $5M Series A on 2023-02

πŸ“‹ Description

β€’ Design and develop scalable data pipelines, including sourcing, scraping, filtering, post-processing, de-duplicating, and versioning of data for AI model training. β€’ Build frameworks for data evaluation and quality assessment, ensuring that our models are trained on high-quality, reliable data. β€’ Develop automated evaluation pipelines to benchmark new models before deployment in our production API. β€’ Collaborate with research and product teams to incorporate their data needs and optimize pipelines for various tasks. β€’ Conduct open-ended research on data quality improvements, including semi-supervised learning, human-in-the-loop ML, and fine-tuning with human feedback.

🎯 Requirements

β€’ 5+ years of experience as a Data Engineer, ML Engineer, or Data Scientist handling large-scale data. β€’ Strong belief in high-quality data and the impact of data curation on model performance. β€’ Experience with end-to-end ML training pipelines. β€’ Expertise in large-scale distributed systems. β€’ Strong programming skills in Python and experience with PyTorch. β€’ (Preferred) Experience working with visual media and computer vision algorithms.

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