Machine Learning Engineer

• Support the development of IDP (Intelligent Document Processing) solutions: Contribute to creating, training, tuning models and fine-tuning for extracting unstructured data from complex documents.
• Build the future of agentic AI: Assist in orchestrating workflows using frameworks such as LangGraph, n8n, and others, connecting document extraction to approval and formalization pipelines.
• Transform data into products: Apply statistical techniques and data analysis to the structured datasets produced by our IDPs, helping identify patterns and insights that will become new AI products for our clients.
• Collaborate with technical, product and commercial teams: Work side by side with Technical Leadership, Data Engineering, Product Managers and the Front-end team, evaluating, supporting and improving the transition of proofs of concept (PoCs) to production solutions.
• Ensure quality and monitoring: Help evaluate model outputs (LLMs, RAGs and classical models), test prompts and document processes, ensuring solutions are accurate and scalable.
• Learn and innovate: Stay up to date with the state of the art in Generative AI, bringing curiosity, ideas and proactivity to solve bottlenecks in our document pipeline.

Junior Machine Learning Engineer

• Work on developing automation tools for processes primarily related to image analysis using AI.

Machine Learning Analyst

• Construção de pipelines de Machine Learning de ponta a ponta: incluindo preparação de dados, otimização de código, automatização de rotinas de treino e predição de modelos;
• Monitoramento de métricas de qualidade, eficiência, custo e uso de produtos de dados;
• Liderança técnica no processo de MLOps do time, definindo boas práticas de desenvolvimento e sustentação de soluções;
• Desenvolvimento de arquiteturas em nuvem para soluções de dados e IA (GCP, AWS, Azure);
• Construção de pipelines de dados com modelos de Gen AI embarcados (ex: preparação de dados não estruturados para estruturados);
• Desenvolvimento de pilotos junto à área para prototipação de conceitos e prova de valor.

Machine Learning Engineer, Especialista II – Dados, Consumidor

LLM Engineer

• The focus is on implementing autonomous reasoning flows, integration via MCP, and control of non-deterministic state.
• **Orchestration of Agentive Flows:** Build loop logics (Think, Act, Observe) for complex Supply Chain tasks (stockout analysis, recalculating Sell-In) using frameworks such as **LangGraph, CrewAI, Agno or Bedrock AgentCore**.
• **Implementation of MCP Servers:** Develop and expose tools via *Model Context Protocol*, creating secure bridges (APIs) between LLMs and **PostgreSQL, Iceberg** databases and Rule Engines.
• **Reasoning and State Engineering:** Manage short- and long-term memory and implement **Thought Signatures** to ensure cohesion in multi-step executions (Gemini 3 and Claude 3.5).
• **Tool/Function Calling Optimization:** Design strict contracts using **JSON Schemas**, implementing fallback and retry logic to mitigate hallucinations in external calls.
• **AgentOps Discipline:** Ensure full AI observability (tracing, latency, token consumption, and decision paths) via **LangSmith, Phoenix or AWS CloudWatch**.
• **Guardrails and Security:** Configure automated barriers (e.g., **Amazon Bedrock Guardrails**) to intercept hallucinations and block unauthorized actions on master data.
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Specialist I, Generative AI and Agents Engineer

• Create and maintain the MLOps and DevOps pipeline, ensuring deployment, monitoring, and governance of ML models.
• Build training and deployment pipelines; implement CI/CD for ML and create and maintain CI/CD pipelines (GitHub Actions, Bamboo, GitLab CI, or similar).
• Operate and evolve workloads on ECS, EKS (Kubernetes), Fargate, and managed services.
• Design, implement, and maintain AWS infrastructures using Infrastructure as Code (Terraform).
• Monitor performance and model/data drift, and implement observability practices (logs, metrics, traces) using tools like CloudWatch and Datadog.
• Integrate feature stores and environments.
• Automate operational processes using Shell scripts and Python.
• Ensure security and governance: IAM, KMS, access policies, Secrets Manager/SSM.

Machine Learning Engineer jobs in Brasil

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Junior Machine Learning Engineer

Machine Learning Analyst

Machine Learning Engineer, Especialista II – Dados, Consumidor

Specialist I, Generative AI and Agents Engineer

MLOps Engineer