Senior Ai Engineer - Indaiatuba/sp

John Deere

Indaiatuba, São Paulo, Brazil
Base: not specified; bonus/equity: remuneração var...
On-site
Machine learning model development
Databricks platform including mlflow
Python and/or node.js programming
John Deere is committed to innovation and building digital products that accelerate processes and increase efficiency for customers and partners

Job Summary

  • John Deere is committed to innovation and building digital products that accelerate processes and increase efficiency for customers and partners.
  • The role involves acting as an entrepreneur in residence to develop AI solutions across multiple teams and collaborating closely with software analysts and product managers.
  • The company offers variable compensation, health and dental plans, life insurance, private pension, corporate university, and other benefits including onsite restaurant or meal allowances.

Matching Summary

John Deere is committed to innovation and building digital products that accelerate processes and increase efficiency for customers and partners.

Salary

Base: Not specified; Bonus/Equity: Remuneração variável; Benefits: Plano de Saúde, Plano Odontológico, Seguro de Vida, Previdência Privada, Benefício Ótica, Reembolso vacina, Universidade Corporativa, TotalPass, Auxílio farmácia

Skills & Requirements

Must-have

  • Machine Learning model development
  • Databricks platform including MLFlow
  • Python and/or Node.js programming
  • SAP S/4 integration experience
  • ETL pipeline development
  • AI and Generative AI solution design
  • Prompt engineering and RAG architecture

Nice-to-have

  • Experience with microservices and API development
  • Monitoring and observability of AI models
  • Multidisciplinary team collaboration
  • Excellent communication and presentation skills
  • Agile software development practices

Key Requirements

  • Bachelor's degree in IT, Computer Science, Engineering, Physics, Mathematics or related fields
  • Advanced English proficiency
  • Experience with Databricks and MLFlow
  • Strong skills in scikit-learn and Keras frameworks
  • Proficiency in Python and/or Node.js
  • Familiarity with SQL and NoSQL databases
  • Knowledge of RAG, GraphRAG, and KAG architectures

Work Rights

Not specified

Tailored Resume

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