Principal Machine Learning Engineer

Bunge Limited; São Paulo; Presencial; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A global agribusiness firm is looking for a GCP Machine Learning Engineer in São Paulo, Brazil. The ideal candidate will have strong experience in deploying machine learning solutions within cloud environments like Google Cloud Platform. Responsibilities include collaborating with Data Scientists, developing maintainable code, and ensuring solutions are scalable and reliable. Candidates should possess at least 5 years of experience in DevOps, with familiarity in Docker, Kubernetes, and Terraform. Join a team committed to sustainability and innovation.

Serviços

Collaborative work environment

Commitment to sustainability

Qualificações

• 5+ years experience in DevOps with major cloud services, preferably GCP.
• Experience in deploying machine learning solutions.
• Familiarity with Agile/SCRUM methodologies.

Responsabilidades

• Collaborate with Data Scientists to scale ML algorithms.
• Develop and maintain the framework for analytical pipelines.
• Build large-scale monitoring solutions using Google Cloud Monitoring.

Conhecimentos

DevOps practices

Google Cloud Platform (GCP)

Collaboration

Machine learning solutions

Software development best practices

Agile methodology

Formação académica

Bachelor's degree in Computer Science or related field

Ferramentas

Docker

Kubernetes

Terraform

BigQuery

Descrição da oferta de emprego

Overview

We are seeking GCP Machine Learning Engineers (MLE). With strong experience on deploy machine learning solutions 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.

Essential Functions

• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize these 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 end-to-end solution
• Leverage an understanding of software architecture and 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 projects 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

Qualifications

• Bachelors 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, BigQuery, 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 expert and functional advisor for business stakeholders.
• Ability to apply software development best practice into machine learning projects including unit testing, DevOps integration, release management, test-driven development to automate development process of machine learning projects by leveraging state of the art tools and technologies like containers, CI/CD orchestration tools
• Familiar with at least one major cloud solution, preferably GCP. Able to recommend and select right services available in cloud to address technical problems.
• Good understanding and experience with software design principles and design patterns; ability to transform proof-of-concept machine learning models into scalable solutions.
• Good understanding of Agile and SCRUM methodology; keep the team focused on delivering business value.
• Self-motivated with strong problem-solving and learning skills.
• Flexibility to changes 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.
• Fluency in English.

Company and Values

At Bunge (NYSE: BG) our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world. As a premier agribusiness solutions provider our team of 37,000 dedicated employees partner with farmers across the globe to move agricultural commodities from where they’re grown to where they’re needed in faster, smarter and more efficient ways. We are a world leader in grain origination, storage, distribution, oilseed processing and refining offering a broad portfolio of plant-based oils, fats and proteins. We work alongside our customers at both ends of the value chain to deliver quality products and develop tailored innovative solutions that address evolving consumer needs. With 200 years of experience and presence in over 50 countries we are committed to strengthening global food security, advancing sustainability and helping communities prosper where we operate. Learn more at .

Every day our people exemplify these values which represent Bunge at its core:

We Are One Team Collaborative, Respectful, Inclusive
We Lead The Way Agile, Empowered, Innovative
We Do Whats Right Safety, Sustainability, With Integrity

If this sounds like you, join us! We value and invest in people who believe in our purpose and are excited to live it every day—people who are #ProudtoBeBunge

Required Experience

Staff IC

Key Skills

Design, Academics, AutoCAD 3D, Cafe, Fabrication, Java

Employment Type

Full Time

Experience

years

Vacancy

1