Mid-Level Machine Learning Engineer - Indaiatuba/SP

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Indaiatuba, São Paulo, BRA
Hybrid
Artificial Intelligence • Cloud • Internet of Things • Machine Learning • Analytics • Industrial
We Run for ALL
The Role
Trabalhamos para que a vida possa avançar e estamos sempre à procura de pessoas inovadoras que possam contribuir com a nossa missão. Que tal fazer parte do nosso time?
Local Principal: Brasil (BR) - São Paulo - Indaiatuba
Função: Technology (CA)
Título: Mid-Level Machine Learning Engineer - Indaiatuba/SP - 115146

As a Mid-Level Machine Learning Engineer at John Deere, based at the headquarters in Indaiatuba/SP, you will focus on develops and supports manufacturing related solutions. The ideal candidate will have skills in technologies such as JavaScript and Front-end development.
The selected candidate will be tasked with the development and support of solutions directly aligned with SAP in the context of multiple SAP modules, working collaboratively in an agile team environment. Responsibilities may encompass addressing integration challenges, system and application configuration and development, executing unit and integration tests, among other tasks. Also, will be responsible for articulating and elucidating solutions to global teams and architects in English.
Moreover, the product plays a critical role on enabling and promoting adoption of tech capabilities, ensuring seamless integration and optimization of manufacturing processes on a global scale. The successful candidate will have the opportunity to work in a dynamic and multicultural setting, contributing to the ongoing evolution of the product and the satisfaction of our worldwide customer base.
In the team, your role is to support innovations in products with a focus on artificial intelligence. Additionally, you will be an important link between software analysts, product managers, and scrum masters. Your main activities are:
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 You Need
  • Bachelor's degree in IT, Computer Science, Engineering, Physics, Mathematics, Statistics, or related areas;
  • Advanced English skills: broad vocabulary, good grammar, conducts meetings, argues, negotiates and provides training;
  • Experience with the Databricks Platform including MLFlow;
  • Ability to create Machine Learning models with the main frameworks of scikit-learn and XGBoost;
  • Programming in Python and SQL;
  • Problem-solving and communication skills;
  • Ability to work collaboratively in a team environment with IT teams and business partners;
  • Willingness to travel nationally and internationally, as required;
  • Flexibility to work part-time in Indaiatuba/SP - 50% at the office.

What Makes You Stand Out
  • Understanding of business processes related to manufacturing processes;
  • Experience in developing microservices in building APIs for serving models as well as integration with systems;
  • Experience with LLMs, prompting and Flow Engineering;
  • Monitoring and observability of served APIs and models;
  • Experience in SAP applications.

Nossos principais benefícios
  • 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

#LI-Hybrid
Nosso Processo Seletivo
A seleção começa com a sua inscrição, para algumas vagas, existem alguns testes adicionais. Você terá a possibilidade de conhecer pessoas do time nas entrevistas! Nosso processo seletivo é flexível em termos de tempo, então não se preocupe! Nossa equipe de Talent Acquisition está comprometida em proporcionar a melhor experiência para você. Analisamos todas as candidaturas cuidadosamente e fornecemos feedback em todas as etapas do processo. Além disso, todas as orientações serão enviadas por e-mail!
Sobre a John Deere
A John Deere é líder global no fornecimento de produtos, tecnologia e serviços avançados para clientes que desempenham um papel essencial na agricultura, construção, florestal entre outros setores. Nosso objetivo é atender à crescente necessidade mundial de alimentos, combustível, abrigo e infraestrutura, enquanto promove a sustentabilidade e a preservação do planeta que chamamos de lar.
Inovamos para impulsionar a produtividade e proteger nosso planeta e convidamos você a fazer parte dessa história. Trabalharemos juntos para criar, testar, superar para que para que a vida possa avançar.

John Deere Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about John Deere and has not been reviewed or approved by John Deere.

  • Retirement Support Pension availability alongside a robust 401(k) match and automatic contributions positions retirement as a standout element of total rewards. These programs are portrayed as strengthening long‑term value beyond base pay.
  • Healthcare Strength For represented hourly employees, premium‑free, low‑out‑of‑pocket coverage under the current agreement is described as unusually rich. Broader medical offerings, including family‑building supports and enhanced vision benefits, are emphasized as a competitive advantage.
  • Pay Growth & Progression Scheduled general wage increases and cost‑of‑living adjustments in recent labor agreements have improved hourly pay trajectories. These structures provide clearer, contract‑defined paths for base‑pay growth in covered manufacturing roles.

John Deere Insights

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The Company
HQ: Moline, IL
69,000 Employees
Year Founded: 1837

What We Do

Life can’t evolve without innovation. That’s why we’re ideating to help feed the planet, build smarter, and help our farmers and growers to sustainably optimize their land. The mission is underway, but we need the right people to continue bringing it to life. From coders to assemblers and from engineers and tech experts to marketers and field teams. All find a purpose to drive them, a culture to thrive in, and a world of opportunities.

Why Work With Us

Our company is more than just a place to work. For John Deere employees, it’s where we dream, design, and deliver machines and technology that help feed a rapidly growing world and build critical infrastructure in villages, towns and modern megacities.

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