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Mid-Level Machine Learning Engineer (MLOps) – Data & AI for Business | Data & AI
Indeed
Full-time
Onsite
No experience limit
No degree limit
Fairy Lake - Estr. Dom Pedro Augusto - Alto da Boa Vista, Rio de Janeiro - RJ, 20531, Brazil
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Job Summary: Data & AI for Business Engineering professional to design, manage, and evolve automated workflows, ensuring reliability and scalability of data solutions. Key Highlights: 1. Build scalable data solutions to support strategic decision-making. 2. Work with modern cloud-based data processing technologies. 3. Shape Globo’s future with data, AI, and technology. Our Technology area is a fundamental pillar of our business, driving our digital transformation. Here, we build technological solutions by continuously envisioning and developing automation techniques and processes—whether to enhance the work experience of our teams or increase the delivery capacity of our products and services. We are responsible for a massive infrastructure supporting Globo’s main video products, such as Globoplay, Premiere, and Globo Channels. Additionally, we handle live broadcasting of major events—from state football championships and the FIFA World Cup to the Olympics, Rock in Rio, and even the 24x7 live cameras of Big Brother Brasil, available to all Globoplay subscribers. **About the team:** Data & AI for Business is responsible for structuring, transforming, and delivering high-quality, secure, and performant data to support strategic decision-making across the entire company. We partner with multiple business areas to build scalable solutions, ensure governance, and foster a data-driven culture. We focus on intelligent use of data as a strategic asset, supporting everything from operational analytics to AI initiatives. We work with modern cloud-based data processing technologies, integration of multiple data sources, data-oriented architecture, and a strong commitment to automation, quality, and continuous innovation. Here, engineering and AI collaborate seamlessly to create solutions that underpin strategic decisions, enable new product features, and directly impact millions of Brazilians. If you’re passionate about technology, data, AI, and want to help shape Globo’s future, this is the ideal team for you. **Diversity:** We create inclusive environments where everyone feels welcomed, valued, and respected. We strive to make Globo increasingly diverse—in representation and thought—learning from each other and fostering creativity and innovation. **Work model:** Hybrid, at locations with Globo offices (SP, RJ, POA, BH, RECIFE, or BRASÍLIA) **Responsibilities and duties** **Your day-to-day will include:** * Architecting, managing, and evolving automated workflows to support data scientists in building machine learning–based products; * Developing, testing, and maintaining data ingestion, transformation, and delivery pipelines; * Ensuring reliability, scalability, and performance of data solutions; * Ensuring reproducibility and governance of developed models; * Working with large volumes of structured and unstructured data. **Requirements and qualifications** **What you need:** * Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or related fields; * Experience in software engineering, DevOps, MLOps, or Data Platform Engineering; * Hands-on experience with GCP (Google Cloud Platform); * Experience building data pipelines (ETL/ELT), preferably in cloud environments—especially GCP (Google Cloud Platform); * Knowledge of Infrastructure-as-Code (IaC) using Terraform; * Strong proficiency in SQL and Python; * Basic knowledge of containerization; * Experience with version control (Git) and agile methodologies; * Understanding of best practices in data security, governance, and quality; * Ability to collaborate effectively within multidisciplinary teams. **What sets you apart:** * Experience with LLMs and RAG; * Familiarity with machine learning model versioning; * Knowledge of automated testing for ML model accuracy; * Proactive approach to researching optimizations for deployed models; * PyTorch; * Hugging Face. **Additional information** **Why join Globo:** Come and let’s create stories and technologies together. At Globo, the convergence of storytelling and technology drives a diverse and innovation-obsessed team. We have the opportunity to bring Brazilians closer, creating new ways to connect with them. Here, everyone makes transformation happen. Our recruitment processes are fully remote. #vempraglobo Want to learn more about working at Globo? Follow our daily life, challenges, and achievements on our social media channels: https://www.linkedin.com/company/globo https://www.instagram.com/vempraglobo https://www.youtube.com/c/VemPraGlobo/ Your personal data will be used solely for candidate selection purposes related to open positions at Globo. Personal data collected during the recruitment process for candidates not selected at this time may be retained in our databases for consideration in future hiring processes. All collected data will be processed according to strict information security standards and in full compliance with applicable privacy laws—including Law No. 13,709/18—and in accordance with our Privacy Policy, available at: https://vempraglobo.g.globo/files/politica_de_privacidade.pdf By proceeding, you acknowledge and agree to your application being processed under these terms. Globo is built by people who want to do things differently, collectively, and shape the future. People spread across the country (and the world!) working with content, news, business, and technology—all with Brazilian identity and abundant talent. Free-to-air and pay-TV channels, digital products like Globoplay, Cartola, G1, Ge, Gshow, and other services are all united in one place. **At Globo, the convergence of storytelling and technology drives a diverse and innovation-obsessed team.** **We have the opportunity to bring Brazilians closer, creating new ways to connect with them.** **Here, everyone makes transformation happen.** Want to be part of this transformation too? #VemPraGlobo ;)

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João Silva
Indeed · HR

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Indeed
João Silva
Indeed · HR
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