Senior Machine Learning Engineer - Indaiatuba/SP
Senior Machine Learning Engineer - Indaiatuba/SP
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Job Description
Trabalhamos para que a vida possa avanar e estamos sempre procura de pessoas inovadoras que possam contribuir com a nossa misso. Que tal fazer parte do nosso time
Local Principal: Brasil (BR)- So Paulo- Indaiatuba
Funo: Technology (CA)
Ttulo: Senior Machine Learning Engineer - Indaiatuba/SP- 114137
Main Responsibilities
- 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.
What You Need
- Bachelors 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 ;
- 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.
What Makes You Stand Out
- 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.
Nossos principais benefcios
- Remunerao varivel;
- Plano de Sade;
- Plano Odontolgico;
- Seguro de Vida;
- Previdncia Privada;
- Benefcio tica;
- Reembolso vacina;
- Universidade Corporativa;
- Wellhub (Gympass);
- Dependendo da unidade voc ter restaurante no local vale refeio ou alimentao;
- Auxlio farmcia;
- Entre outros
#LI-Hybrid
Nosso Processo Seletivo
A seleo comea com a sua inscrio para algumas vagas existem alguns testes adicionais. Voc ter a possibilidade de conhecer pessoas do time nas entrevistas! Nosso processo seletivo flexvel em termos de tempo ento no se preocupe! Nossa equipe de Talent Acquisition est comprometida em proporcionar a melhor experincia para voc. Analisamos todas as candidaturas cuidadosamente e fornecemos feedback em todas as etapas do processo. Alm disso todas as orientaes sero enviadas por e-mail!
Sobre a John Deere
A John Deere lder global no fornecimento de produtos tecnologia e servios avanados para clientes que desempenham um papel essencial na agricultura construo florestal entre outros setores. Nosso objetivo atender crescente necessidade mundial de alimentos combustvel abrigo e infraestrutura enquanto promove a sustentabilidade e a preservao do planeta que chamamos de lar.
Inovamos para impulsionar a produtividade e proteger nosso planeta e convidamos voc a fazer parte dessa histria. Trabalharemos juntos para criar testar superar para que para que a vida possa avanar.
Required Experience:
Senior IC
Employment Type
Full Time
