Senior Machine Learning Engineer - Indaiatuba/SP

• Acting as an entrepreneur in residence in the search for AI solutions across Finance, collaborating with software engineers and product managers;
• Defining roadmaps and blueprints for AI and Generative AI (GenAI) solutions;
• Developing machine learning algorithms based on classification, regression, and solutions using LLMs, including prompt engineering, retrieval augmented generation (RAG), and agent development (LangGraph);
• Building data extraction, transformation, and loading (ETL) pipelines, versioning, experimentation, and continuous delivery of machine learning models;
• Designing, developing, and testing the necessary code (Test Driven Development) to deliver the desired functionality;
• Collaborating with stakeholders and team members to ensure features meet business needs and technical robustness for long-term operations;
• Operating in a “Build & Run” model, meaning all feature and/or model development is supported by the same team;
• Actively solving problems by identifying root causes and working with clients to ensure operations and incident resolution;
• Training and mentoring other team members;
• Following agile methodologies aligned with software industry standards, especially focusing on metrics associated with Elite Engineering.

• Bachelor's degree in IT, Computer Science, Engineering, Physics, Mathematics, Statistics, or related fields;
• Advanced English proficiency;
• Strong verbal and written communication skills;
• Experience with the Databricks platform, including MLFlow;
• Ability to build machine learning models using major frameworks like scikit-learn and Keras or XGBoost;
• Programming in Python and/or Node.js;
• Knowledge with relational and non-relational databases, as well as query languages (SQL and NoSQL);
• Knowledge of RAG (Retrieval Augmented Generation), GraphRAG, KAG (Knowledge-Augmented Generation), among others;
• Experience with agent architectures and multi-agent systems.

• Experience developing microservices and building APIs to serve models and integrate with systems;
• Monitoring and observability of APIs and served models;
• Ability to work in multidisciplinary teams in global environments;
• Experience with SAP applications.

• Remuneração variável;
• Plano de Saúde;
• Plano Odontológico;
• Seguro de Vida;
• Previdência Privada;
• Benefício Ótica;
• Reembolso vacina;
• Universidade Corporativa;
• Wellhub (Gympass);
• Dependendo da unidade, você terá restaurante no local, vale refeição ou alimentação;
• Auxílio farmácia;
• Entre outros

John Deere