AI Engineer – Classifiers, Media Intelligence, Voice R&D

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WOW Remote Teams

SiteLinkedInTodas as Vagas

1 - 10 funcionários

Fundada em 2021

🤝 B2B

🛍️ Comércio Eletrônico

🎯 Recrutamento

B2B • eCommerce • Recruitment

A WOW Remote Teams é uma empresa que conecta empresas a profissionais virtuais de alto nível da América Latina, incluindo assistentes virtuais, especialistas em marketing digital, desenvolvedores de software, designers gráficos e muito mais. Seus serviços ajudam as organizações a economizar em despesas salariais ao mesmo tempo em que oferecem talentos bilíngues e pré-avaliados. Com foco em processos de contratação ágeis, os clientes podem receber indicações de candidatos em apenas três dias, tornando a WOW Remote Teams uma solução econômica para escalar equipes com eficiência.

Descrição

• Design, train, and deploy classification models for content pipeline, including style detection, quality scoring, content moderation, filtering, and semantic categorization of generated media. • Develop and maintain automated tagging and organization systems for the media library: extracting attributes, detecting visual features, clustering similar content, and enabling intelligent search. • Build and optimize training data pipelines: create annotation tooling, curate datasets, establish active learning loops, and ensure high-quality labeled data. • Lead R&D into AI voice and audio generation, including voice cloning, text-to-speech, and audio synthesis; prototype integrations and create a production-ready pathway from research to features. • Research and prototype image intelligence technologies such as face/body analysis, pose estimation, style transfer, and image-to-image consistency. • Develop evaluation frameworks to measure the accuracy of classifiers, the quality of generation models, and model drift over time. • Optimize inference pipelines for performance, cost, and latency—incorporating batching, quantization, caching, and model serving strategies. • Integrate with GPU compute infrastructure and deliver models via production APIs.

🎯 Requisitos

• 3+ years of experience building and deploying machine learning models in production, particularly in classification, tagging, or content understanding. • Hands-on experience with model training, including dataset curation, experimenting with architectures, tuning hyperparameters, and debugging. • Strong background in image classification and computer vision techniques (e.g., CNNs, vision transformers, CLIP). • Experience or demonstrated interest in voice/audio AI (e.g., text-to-speech, voice cloning, audio classification). • Proficiency in Python, with experience in PyTorch or TensorFlow. • Experience with building data labeling pipelines, annotation workflows, or active learning systems. • Understanding of model serving in production environments, including REST APIs and latency optimization.

🏖️ Benefícios

• 100% remote, full-time role. • Flexible work hours. • Competitive salary and comprehensive benefits package. • Opportunity for career advancement and personal development. • Work on high-impact projects with cutting-edge AI technologies.