Overture Rede
Education • HR Tech • Recruitment
Overture Rede is an India-based corporate services and IT solutions company that delivers corporate training, competency assessment tools, staffing and payroll services, and enterprise IT/ERP product offerings. The company operates a panel of trainers and provides best-in-class corporate training programs, interactive assessment modules, and staffing solutions, while also developing and deploying software products such as e-Mantra (ERP/intranet), mailGATE, DR-Cloud and related infrastructure services. Overture Rede serves corporate clients globally from offices in Delhi, Bangalore, Mumbai, Singapore and the USA.
ML Product Engineer
Job not on LinkedIn
November 7
Overture Rede
Education • HR Tech • Recruitment
Overture Rede is an India-based corporate services and IT solutions company that delivers corporate training, competency assessment tools, staffing and payroll services, and enterprise IT/ERP product offerings. The company operates a panel of trainers and provides best-in-class corporate training programs, interactive assessment modules, and staffing solutions, while also developing and deploying software products such as e-Mantra (ERP/intranet), mailGATE, DR-Cloud and related infrastructure services. Overture Rede serves corporate clients globally from offices in Delhi, Bangalore, Mumbai, Singapore and the USA.
📋 Description
• Prototype and report on top models or innovative approaches by iterating rapidly to deliver tangible business outcomes • Keep track of top research directions/papers in the field of video generative models to steam our innovation roadmap • Design and develop ML training pipelines for large-scale datasets • Collaborate with CTO and product development team in developing new features
🎯 Requirements
• 5+ years of experience • Strong understanding of computer vision algorithms in the context of video generation • Experience working with diffusion models, transformers (NeRFs are a plus) • Track record in implementing state-of-the-art research papers with reproducible results • Experience in RLHF is a plus
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