Mid-Level Machine Learning Engineer

3 semanas atrás

São Paulo, Brasil buscojobs Brasil Tempo inteiro

Indaiatuba

BRL 160.000 - 200.000

Overview

Mid-Level Machine Learning Engineer - Indaiatuba/SP at John Deere. We are part of a global organization present in over 26 countries, responsible for the sales and distribution journey of everything we produce from parts and engines to autonomous tractors for precision agriculture and construction.

Join to apply for the Mid-Level Machine Learning Engineer - Indaiatuba/SP role at John Deere. Get AI-powered advice on this job and more exclusive features.

Main Responsibilities
  • Act as an entrepreneur in residence in the search for artificial intelligence solutions;
  • Develop machine learning algorithms based on classification, regression, as well as LLMs through prompt engineering, retrieval augmented generation (RAG), and agent development;
  • Develop data extraction, transformation, and loading (ETL) pipelines, versioning, experimentation, and continuous delivery of machine learning models;
  • Collaborate with stakeholders and team members to ensure that features meet business needs as well as technical robustness criteria for long-term operations;
  • Operate in the “Build & Run” model, meaning all functionality and/or model development will be supported by the same team; Actively work on solving problems by seeking the root cause and working with customers to ensure operations in incident resolution;
  • Train and help develop other team members; Follow agile methods standards as per the software industry market, especially seeking metrics associated with Elite Engineering;
  • Document code, processes, and solutions developed, and provide training and guidance to end users and team members; Stay abreast of emerging trends and technologies and contribute innovative ideas to enhance existing products and processes.
What Skill You Need
  • 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.
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.
  • Reembolso vacina;
  • Wellhub (Gympass);
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