Artificial Intelligence Engineer

Company Description Talevo is a modern talent management and influencer marketing company designed for the creator economy, connecting brands with creators to drive meaningful impact. The organization focuses on authentic partnerships, measurable results, and mutual growth for both brands and creators. Talevo delivers strategic influencer campaigns, compelling storytelling, and access to creators across industries such as fashion, lifestyle, tech, and D2C. Creators receive guidance, management, and opportunities that ensure their work is recognized and rewarded. Every project at Talevo is driven by innovation, authenticity, and a commitment to long-term influence and relationships.

Role Description The Artificial Intelligence Engineer will design, develop, and deploy AI models that support Talevo’s talent, campaign, and performance analytics across the creator ecosystem. This contract, remote role involves building and optimizing machine learning pipelines for tasks such as pattern detection, content understanding, and audience segmentation. Day-to-day responsibilities include experimenting with neural network architectures, implementing NLP solutions for creator and campaign data, and collaborating with product and marketing teams to translate business needs into AI-driven features. The engineer will also integrate AI models into existing software systems, ensure scalability and reliability, and document technical approaches for cross-functional stakeholders. Continuous evaluation of model performance, data quality, and emerging AI tools will be essential to improve Talevo’s platforms and services.

Qualifications

• Strong foundation in Computer Science and Software Development, including data structures, algorithms, and scalable system design.
• Experience with Pattern Recognition and Neural Networks, focusing on building, training, and evaluating machine learning and deep learning models.
• Hands-on expertise in Natural Language Processing (NLP), including text classification, entity recognition, sentiment analysis, and modern language model frameworks.
• Proficiency in programming languages commonly used in AI (e.g., Python), and familiarity with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience working with large datasets, data preprocessing, and model evaluation using metrics and A/B testing.
• Ability to collaborate effectively in remote, cross-functional teams and communicate complex technical concepts in clear, accessible language.
• Bachelor’s or higher degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
• Previous experience applying AI to marketing, social media, talent management, or recommendation systems is a plus.