Key Facts

Remote From:

Full time

Senior (5-10 years)

Portuguese

Hard Skills

Large Language Modeling Kubernetes Prompt Engineering Software Engineering Observability Model Validation Continuous Delivery Application Programming Interface (API) Data Architecture Apache Airflow +16 more

Other Skills

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Quality Control
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Training And Development
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Decision Making
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Collaboration
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Communication
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Strategic Thinking
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Business Acumen

Roles & Responsibilities

Solid experience as a Senior ML Engineer or equivalent
Hands-on production experience with machine learning
Proficiency with Kubernetes (K8s) and Helm
Experience with CI/CD applied to ML and software

Requirements:

Design and implement end-to-end ML and GenAI solutions; define scalable, secure AI architectures
Develop, train, evaluate, and operationalize ML models and LLMs; create and maintain data, training, and deployment pipelines
Lead MLOps practices (versioning, monitoring, governance) and manage CI/CD pipelines with Kubernetes/Helm
Work in cloud environments (OCI and GCP) to optimize cost, performance, and security; collaborate with Product, Data, Engineering, and Security teams

Compass.uol

About Compass.uol

Compasso UOL is a Brazilian technology company owned by the UOL Group, which offers technology services, and provides state-of-the-art solutions, contributing to the digital transformation of its customers so they can become leaders in its sectors of activity. Compasso UOL is a company that cultivates people's talent and use state-of-the-art technologies such as Agile Development, Multicloud, Data&Analytics, Cyber Security, Artificial Intelligence/Machine Learning, APIs/Microservices, IoT and others, providing technology and knowledge that help customers in building digital solutions that enable the transformation and evolution of their business.

Company type: XLarge

Founded: 2018

Company size: 5001 - 10000

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Job description

JOB DESCRIPTION

RESPONSIBILITIES AND ASSIGNMENTS

Projetar e implementar soluções de Machine Learning e GenAI end-to-end
Definir e evoluir arquiteturas de AI escaláveis, seguras e resilientes
Desenvolver, treinar, avaliar e operacionalizar modelos de ML e LLMs
Criar e manter pipelines de dados, treinamento e deployment
Atuar com Prompt Engineering, RAG, agentes e orquestração de workflows de AI
Implementar práticas de MLOps (versionamento, monitoramento e governança)
Trabalhar com Kubernetes (K8s), Helm e pipelines de CI/CD
Desenvolver APIs, serviços e automações com foco em qualidade
Atuar em ambientes cloud (OCI e GCP), otimizando custo, performance e segurança
Colaborar com times de Produto, Dados, Engenharia e Segurança
Apoiar decisões técnicas com visão estratégica e foco em negócio

REQUIREMENTS AND QUALIFICATIONS

Experiência sólida como ML Engineer Sênior ou equivalente
Forte vivência com Machine Learning em produção
Domínio de Kubernetes (K8s) e Helm
Experiência com CI/CD aplicado a ML e software
Background robusto em engenharia de software
Experiência com arquitetura de soluções de AI/ML
Atuação em projetos end-to-end (E2E)
Experiência com cloud (OCI e/ou GCP)
Experiência prática com LLMs e GenAI (OpenAI, Llama, Gemini, Claude, entre outros)
Experiência com MLflow, Kedro, Apache Airflow ou similares
Vivência com RAG, agentes autônomos e avaliação de LLMs
Conhecimento em FinOps aplicado a workloads de AI

Become a Compasser, be part of AI/R.

Compass UOL is a global firm and part of the AI Revolution Company, together transforming organizations using Artificial Intelligence, Generative AI, and other of today’s most advanced technologies.

We equip our team with proprietary and external AI-driven tools to design and build digital-native platforms, integrating cutting-edge technologies and enabling companies to innovate, transform their businesses, and drive success in their markets.

To achieve this, we attract and develop the best talent, creating opportunities that enhance people’s lives and highlight the positive impact of disruptive technologies.

We empower borderless talent and promote knowledge and opportunities in the latest market trends, driving significant personal and professional growth.

Join us and be part of the AI-driven revolution.

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