Pleno Machine Learning Engineer - jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Pleno Machine Learning Engineer based in Brazil.

This role offers the opportunity to design and deliver advanced AI solutions that transform complex data challenges into scalable products. You will work on cutting-edge initiatives involving Generative AI, Intelligent Document Processing, machine learning models, and agent-based architectures. The position combines technical depth, product impact, and collaboration with multidisciplinary teams to bring innovative solutions into production. You will help build reliable AI systems by focusing on performance, quality, observability, and cost optimization. This is an ideal opportunity for an experienced ML professional who enjoys solving complex problems and creating practical AI applications. You will contribute to a culture of innovation, knowledge sharing, and continuous improvement while helping shape the future of AI-driven products.

Accountabilities:

The Pleno Machine Learning Engineer will be responsible for designing, developing, and maintaining advanced artificial intelligence solutions, transforming business challenges into scalable and impactful technology products. The role requires strong technical expertise, autonomy, and collaboration across different teams. Key responsibilities include:

• Designing and architecting Intelligent Document Processing (IDP) solutions, developing and optimizing pipelines for extracting information from complex, unstructured documents.
• Building and improving machine learning and Generative AI solutions, including fine-tuning strategies, Retrieval-Augmented Generation (RAG), and computer vision applications.
• Developing and deploying agentic AI workflows using frameworks such as LangGraph, n8n, and similar technologies, ensuring reliability, scalability, and efficient orchestration.
• Creating structured data pipelines and advanced analytical models to transform extracted information into strategic insights, predictive intelligence, and business-oriented products.
• Establishing evaluation frameworks for AI systems, monitoring model performance, reducing hallucinations, improving accuracy, and optimizing infrastructure costs.
• Collaborating with Product Managers, Engineering teams, and technical leadership to translate business needs into effective AI architectures and production-ready solutions.
• Supporting the development of prototypes and proofs of concept through to final implementation in production environments.
• Promoting technical excellence by mentoring junior team members and sharing best practices in software development, modeling, and AI engineering.

Requirements: