Senior Applied AI Engineer

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🕒 Julho 11

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ClanX

SiteLinkedInTodas as Vagas

1 - 10 funcionários

🎯 Recrutamento

🤖 Inteligência Artificial

👥 RH Tech

Recruitment • Artificial Intelligence • HR Tech

A ClanX é uma agência de recrutamento especializada, focada em posições de tecnologia, como engenheiros, product managers e designers. Aproveitando uma rede de profissionais de tecnologia, a empresa oferece um processo de contratação rápido e eficiente, sem taxas antecipadas, garantindo um match de alta qualidade para companhias que buscam preencher vagas técnicas. Com alta taxa de match e prazos de resposta ágeis, a ClanX utiliza ferramentas com IA e profunda expertise no setor para fazer a triagem e a avaliação minuciosa de candidatos. A empresa trabalha com modelo de pagamento baseado em sucesso (success fee) e oferece período de substituição gratuita, assegurando satisfação com as contratações.

Descrição

• Own end-to-end delivery of production AI and ML systems from experimentation to deployment • Train, fine-tune, and optimize machine learning models, including LLMs and open-weight models • Build and maintain training, data processing, and inference pipelines • Improve model performance across accuracy, latency, reliability, and cost • Implement MLOps best practices for deployment, monitoring, CI/CD, and automated retraining • Develop evaluation frameworks, benchmark datasets, and quality checks for production models • Design and maintain scalable APIs and services that expose AI capabilities • Collaborate with Product, Backend, and Frontend teams to integrate AI into customer-facing workflows • Monitor production systems and continuously improve model and infrastructure performance • Research and evaluate emerging AI techniques, tools, and frameworks

🎯 Requisitos

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field • 3+ years of experience as an AI Engineer, Machine Learning Engineer, Applied AI Engineer, or similar role • Strong experience training, fine-tuning, and deploying machine learning models to production • Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and scikit-learn • Experience operating and maintaining production ML systems • Hands-on experience with AWS, GCP, or Azure cloud platforms • Familiarity with cloud ML services such as SageMaker, Vertex AI, or similar platforms • Strong understanding of API design and distributed system architecture • Experience implementing MLOps practices, CI/CD pipelines, and model monitoring • Experience with Docker and Kubernetes • Knowledge of PostgreSQL and modern data infrastructure • Experience with LLMs, RAG systems, and vector databases is a strong plus • Excellent written and verbal communication skills in English.

🏖️ Benefícios

• Professional development • Flexible work arrangements