Principal Machine Learning Engineer

Cidade : São Paulo, Brasil Estado : São Paulo (BR-SP) País : Brasil (BR) Número da Vaga : 47070

Role Purpose Statement

We are seeking GCP Machine Learning Engineers (MLE). With strong experience on deploy machine learning solutons into production by utilizing state of the art tools/algorithms and methodologies following DevOps and a test-driven development process. MLE  work in close collaborations with the data scientists and data engineer guiding them to focus not only on model and pipeline performance but also delivery stability, reproducibility, and scalability of a software product.

Main Accountabilities

Collaborate with Data Scientists to test and scale new   algorithms through pilots and later industrialize the   solutions at scale  ​

Influence, build and maintain the large-scale data   infrastructure required for the AI projects, and   integrate   with external IT infrastructure/service to provide an e2e   solution  ​

Leverage an understanding of software architecture and   software design patterns to write scalable, maintainable,   well-designed and future-proof code  ​

Design, develop and maintain the framework for   analytical pipeline  ​

Develop common components to address pain points in   machine learning project, like model lifecycle   management, feature store and data quality evaluation ​

Provide input and help implement framework and tools   to improve data quality ​

Work in cross-functional agile teams of highly skilled   software/machine learning engineers, data scientists,   designers, product managers and others to build the AI   ecosystem within the Group  ​

Deliver on time, demonstrating strong commitment to   deliver on the team mission and agreed backlog  

Join forces with our Software Development, Data Science and DevOps folks to understand their requirements and build well-architected, automated solutions, such as CI/CD, data pipelines or deployment infrastructure using Google Cloud Platform.  

Knowledge and Skills

Use knowledge of Bunge’s business, structure and strategy to develop innovative solutions to improve results or eliminate problems.

Build partnerships, appropriately influence to gain commitment, foster talent and coach others to grow in current or future roles..

Drive results through high standards, focus on key priorities, organization, and preparing others for change.

Ability to apply software development best practice into machine learning project, including unit test, DevOps   integration, release management, test driven development, etc. ​

Ability to automate development process of machine learning project by leverage state of art tools and technology like   container, continuous integration and delivery, orchestration tools

Familiar with at least one of major cloud solutions, preferably GCP. Able to recommend and select right services available in   cloud to address technical problem ​

Good understanding and experience with software design principle and design pattern ​

Good understanding of Agile and scrum methodology, keep team focus on deliver business value ​

Ability to transform proof of concept machine learning models into scalable solutions ​

Self-motivated with strong problem-solving and learning skills ​

Flexibility to change in work direction as the project develops

Believes in a non-hierarchical culture of collaboration, transparency, safety, and trust ​

Work with a focus on value creation, growth and serving customers with full ownership and accountability.  ​

Demonstrable Terraform experience  

Have implemented Kubernetes and Docker (or similar container engine) solutions  

  Have built large-scale monitoring solutions with Google Cloud Monitoring or other tools (e.g., Datadog, Sentry, Prometheus, Grafana, SolarWinds).   

Knowledge of Python and any other scripting language (e.g., Bash). If you have experience building Data Platform products and with big data technologies like Spark, it is a plus.  

Education & Experience

You have a bachelor’s degree, or combination of years of experience and education, in computer science, Information Technology, or a related field (or equivalent work experience).  

At least 5 years proven, hands-on DevOps engineer experience with major public cloud services, with preference to GCP services, including but not limited to Compute Engine, GKE, Big Query, Cloud Run and Cloud Composer.   Bonus points, if you’ve obtained Google Cloud Professional certifications (like Architect, Data Engineer, or DevOps).  

Plays a significant role in developing other juniors, act as a technical consultant to product managers, and valued as an asset to any data science projects.

Domain expert and functional advisor for business stakeholders

Handle most of the day-to-day communications with the product owners. 

Leads all internal meetings as well as weekly or fortnightly reports on the team’s progress.

Divide their project into workstreams led by Senior Data Engineers and delegate tasks efficiently. Ensure that the project is well executed and deliverables are completed according to the timeline.

Na Bunge, nosso objetivo é conectar agricultores a consumidores para fornecer alimentos, ingredientes para nutrição animal e combustível essenciais para o mundo. Como uma fornecedora líder de soluções para o agronegócio, nossa equipe de aproximadamente 34.000 colaboradores dedicados atua em parceria com agricultores ao redor do mundo para movimentar commodities agrícolas de onde são produzidas para onde são necessárias — de maneira mais rápida, inteligente e eficiente. Somos uma empresa líder mundial em originação, armazenamento, distribuição, além de processamento e refino de oleaginosas, oferecendo um amplo portfólio de óleos, gorduras e proteínas de origem vegetal. Atuamos lado a lado com nossos clientes em ambas as pontas da cadeia de valor para fornecer produtos de qualidade e desenvolver soluções inovadoras e personalizadas que atendam às necessidades em constante evolução dos consumidores. Com mais de 200 anos de experiência e presença em mais de 50 países, temos o compromisso de fortalecer a segurança alimentar global, promover a sustentabilidade e contribuir para a prosperidade das comunidades onde operamos. A Bunge tem sede registrada em Genebra, Suíça, e sua sede corporativa está localizada em St. Louis, Missouri, EUA. Saiba mais em bunge.com.br.

Diariamente, nossos profissionais incorporam os valores que são a essência da Bunge:

•    SOMOS UM SÓ TIME– Colaborativo, respeitoso e inclusivo
•    LIDERAMOS O CAMINHO – Somos ágeis, Empoderados e inovadores
•    FAZEMOS O QUE É CERTO – Com segurança, de forma sustentável e com integridade

Reconhecemos que nosso sucesso depende da variedade de perspectivas que cada um de nossos colaboradores agrega à Bunge. Estamos empenhados em promover práticas para nutrir uma cultura de pertencimento para todos. Globalmente, apoiamos os Princípios de Empoderamento das Mulheres, de ONU Mulheres. No Brasil, somos associados ao Mover - Movimento pela Equidade Racial, e fomos eleitos pela ferramenta global Disability Index Report® como um dos melhores locais para se trabalhar em relação à inclusão de pessoas com deficiência. Atuamos continuamente em prol de nosso compromisso de deixar um legado positivo em todas as comunidades onde atuamos.

Se você se identifica com esses valores, junte-se a nós! Valorizamos e investimos em pessoas que acreditam em nosso propósito e o vivenciam com entusiasmo a cada dia – pessoas que têm #OrgulhodeSerBunge