Last updated: 2025-06-06
11 Machine Learning Engineering jobs in São Paulo.
Hiring now: Mlops Engineer @ Cloudwalk, Data Software Engineer @ Artefact, Engenheira De Machine Learning @ Experian, Research Engineer Scientist @ Avra, Machine Learning Engineer Data Scrapping @ Tractian, Sr Mlops Engineer @ Cit, Midlevel Fullstack Developer @ Sinch, Líder De Product Technology @ Creditas. Explore more at at jobswithgpt.com
🔥 Skills
MLOps (7)
Machine Learning (7)
Python (4)
APIs (3)
Kubernetes (3)
Large Language Models (2)
LLMs (2)
deployment (2)
Deep Learning (2)
CI/CD (2)
📍 Locations
São Paulo (8)
Campinas (2)
CloudWalk
We are not just another fintech unicorn. We are a pack of dreamers, makers, and tech enthusiasts building the future of payments. With millions of happy custom…
MLOps Engineer
São Paulo
- Skills: MLOps, Large Language Models, LLMs, Retrieval-Augmented Generation, RAG, deployment, management, scalable performance, network communication, parallel processing
Artefact
Artefact is the place to be: come and build the future of data and marketing. We have a passion for creating impacting projects and believe innovation can come…
Data & Software Engineer
São Paulo
- Skills: data engineering, cloud architecture, MLOps, data pipeline, data warehousing, machine learning, APIs, software testing, continuous integration, deployment
- Salary: from 42K-80k euro per year in France, or equivalent in other countries
Experian
Engenheira de Machine Learning
São Paulo
- Skills: Machine Learning, MLOps, Data Platform, Data Engineers, Site Reliability Engineers, soluções de ML, ferramentas, arquiteturas robustas, escaláveis, colaboração
Avra
Avra is a deep tech data intelligence platform powered by foundational AI that translates the complexity of SMEs into strategic decisions for large enterprises…
Research Engineer / Scientist
São Paulo
- Skills: Machine Learning, Deep Learning, PyTorch, Data Pipelines, Model Fine-Tuning, AI Applications, Technical Leadership, Collaboration, Research, MLOps
- Experience: At least 5 years in designing, implementing, and monitoring impactful machine learning models.
- Type: Full time
Tractian
The Data Science team at TRACTIAN focuses on extracting valuable insights from vast amounts of industrial data. Using advanced statistical methods, algorithms,…
Machine Learning Engineer - Data Scrapping
São Paulo
- Skills: Machine Learning, Data Scrapping, Data Collection, Data Processing, Python, APIs, Web Scraping, Data Cleaning, Data Engineering, Industrial Data
- Experience: 0–2 years
- Type: Full-time
CI&T
We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 6,500 CI&Ters around the world, we’ve buil…
Senior MLOps Engineer
São Paulo
- Skills: MLOps, Machine Learning, Kedro, MLflow, ArgoCD, Kubernetes, Grafana, Prometheus, CI/CD, AWS
Experian
Engenheira de Machine Learning
São Paulo
- Skills: Machine Learning, MLOps, Data, Models, Deployment, Platform, Tools, Data Scientists, Architecture, Scalability
Sinch
At Sinch, we pioneer the way the world communicates. Our customer communications cloud empowers businesses to reach everyone worldwide through mobile messaging…
Mid-level Fullstack Developer
Campinas
- Skills: AI, Data Science, Large Language Models, ML API, Machine Learning, Deep Learning, Cloud Infrastructure, Deployment, Python, Kubernetes
CI&T
Somos especialistas em transformação tecnológica, unindo expertise humana à IA para criar soluções tech escaláveis.
Desenvolvedor de Inteligência Artificial
Campinas
- Skills: LLMs, Python, Docker, Kubernetes, cloud computing, CI/CD, Gitflow, SOLID, TDD, DevOps
- Type: full_time
- Salary: {'min': None, 'max': None, 'period': '', 'currency': ''}
Creditas
A Creditas é uma plataforma de serviços financeiros que a partir da casa, carro e salário oferece empréstimos, seguros e investimentos. Com 12 anos de atuação,…
Líder de Product Technology
São Paulo
- Skills: Product Technology, engenharia de software, engenharia de dados, Python, APIs, microserviços, DevOps, Machine Learning, MLOps, infraestrutura como código
- Salary: {'min': None, 'max': None, 'period': '', 'currency': ''}