Senior Data Engineer
Brasil
- 7 años de experiencia
Senior Data Engineer · ThoughtWorks Holding, Inc.
- AWS
- Azure
- Digital Transformation
- Docker
- Functional Architecture
- Git
- Kubernetes
- Linux
Talento remoto verificado
Contratar ingenieros de IA y machine learning en Brasil
72 ingenieros de IA y machine learning de Brasil tienen hoy un perfil público con video en la red de Interfell y Simera. Podés verlos acá abajo —gratis y sin hablar con un vendedor— y avanzar solo con los que te sirvan.
72
perfiles de ingenieros de IA y machine learning
B2
nivel de inglés más común
UTC-3
franja horaria
Cuánto cuesta contratar ingenieros de IA y machine learning en Brasil
Rango mensual en dólares para contratación remota a tiempo completo, según la Guía Salarial IT LATAM 2027 de Interfell (Brasil está en el Tier 1 de la guía).
| Junior | Semi senior | Senior | |
|---|---|---|---|
| Con inglés | USD 2.400 – USD 3.000 | USD 4.050 – USD 5.050 | USD 5.750 – USD 7.200 |
| Sin inglés | USD 2.100 – USD 2.600 | USD 3.500 – USD 4.400 | USD 5.000 – USD 6.250 |
Fuente: Guía Salarial IT LATAM 2027 de Interfell. Rol de referencia en la guía: Machine Learning Engineer.
Por qué contratar ingenieros de IA y machine learning en Brasil
Brasil aporta el mayor volumen absoluto de talento técnico de Latinoamérica; São Paulo y Belo Horizonte son los polos principales.
Desde modelos clásicos hasta LLMs en producción: Python, PyTorch, RAG, vector stores y MLOps.
De los perfiles que ves en esta página, 21 tienen cinco años o más de experiencia. Todos trabajan en remoto y Brasil opera en UTC-3 (dos horas más que Nueva York), así que con un equipo en Estados Unidos coincide la jornada completa o casi, y con España hay compatibilidad de horarios (coincidencia en más del 60 % de la jornada laboral).
Habilidades más frecuentes
- Python
- Phyton
- Python/R
- Python3
- Paython
- Machine Learning
- SQL
- Machine Learning/ML
- Docker
- Mahcine Learning
- MSQL
- Data Analysis
- AWS
- Git
- Kubernetes
- Langchain
- Tensorflow
- Data Engineer
Perfiles disponibles
Una muestra de los perfiles que devuelve el buscador para esta combinación. Cada uno tiene ficha pública con video; los datos de contacto y el CV se comparten en el proceso con Interfell, no acá.
UX Design Specialist
Brasil
- 12 años de experiencia
Senior Designer with 15+ years of experience in UX/UI, Information Design, and digital solutions for learning and digital transformation. Experienced in delivering strategic projects, user-centered experiences, prototyping, instructional design, and applying Generative AI to accelerate discovery, creation and delivery.
- Articulate Storyline
- Branding
- CSS
- CSS3
- Customer Experience
- Design Thinking
- HTML
- HTML5
Data Engineer
Brasil
- 8 años de experiencia
Passionate about transforming data into actionable insights, I thrive on the intersection of technology and innovation. With a background in data analysis and machine learning, I've honed my skills through diverse projects and roles. At Accenture Brasil, I contributed to architecting data solutions for retail giants and implementing data lakes for multinational corporations. My expertise extends to cloud platforms such as AWS and Azure, where I leverage tools like Databricks and Scala to enhance data processing capabilities. During my internship, I made a tangible impact within the healthcare sector by working on predictive pathology analysis projects. My dedication led to the development of robust data pipelines using AWS and the implementation of groundbreaking predictive models, including one for pregnancy prediction.
- AWS
- Azure
- Big Data
- Cloud Computing
- data visualization
- ETL
- Machine Learning
- Neural Networks
AI Engineer
Brasil
- 5 años de experiencia
I turn LLMs into production tools that solve real business problems, not just demos. As an AI Engineer, I design and deploy RAG pipelines, AI agents, and prompt-engineered workflows using Python, LangChain, and OpenAI/Anthropic/Gemini APIs. My work sits at the intersection of AI and data engineering: I've built embedding pipelines from Notion to S3 to conversational agents, automated daily Slack reporting systems, and managed cloud infrastructure across GCP, AWS, and Azure. Before specializing in AI, I spent years across the full data stack, leading a team of 5, building ETL pipelines at scale (90M+ rows/day), and delivering BI solutions. This gives me something many AI engineers lack: a deep understanding of the data that feeds the models. Working remotely for US and Canadian companies. MBA in Data Science (USP) + ongoing MBA in AI for Software Development.
- Automation
- AWS
- Computer Vision
- Customer Service
- Data & Analytics
- Data Analysis
- Data Analytics
- Digital Marketing
Senior Machine Learning Engineer / AI Systems Architect
Brasil
- 13 años de experiencia
Ph.D. in Computer Science with 10+ years building production AI/ML systems, backend infrastructure, and scalable agent workflows. Expert in Python, PyTorch, TensorFlow, FastAPI, with deep experience deploying production-grade AI systems processing 5M+ monthly requests at 99.9% uptime. Specialized in ML model serving, inference optimization, evaluation pipelines, observability, RAG systems, and distributed architectures. Proven track record designing and shipping real-world AI systems with measurable impact: reduced inference latency by 73%, deployed containerized ML services supporting 15+ enterprise clients, and built comprehensive monitoring infrastructure for production AI workflows. Strong foundation in agent orchestration frameworks, vector databases, structured extraction, guardrails, and production reliability patterns.
- A/B Testing
- Azure
- Computer Vision
- Distributed Systems
- Docker
- Grafana
- Java
- Jenkins
Senior AI Engineer
Brasil
- 4 años de experiencia
Senior AI Engineer with extensive experience architecting and deploying production-ready Generative AI, Multimodal AI, and NLP solutions for US-based tech companies. I specialize in building complex Agentic Systems and RAG architectures, bridging the gap between research concepts and scalable, enterprise-grade applications.I hold a Double Master’s degree in AI & NLP (University of Malta & SKILLS: Python, SQL, LangChain, LangGraph, LlamaIndex, Haystack, Hugging Face Transformers, spaCy, PyTorch, MLflow, LangSmith, n8n, AWS (SageMaker, Bedrock), Google Cloud (Vertex AI, BigQuery), Azure, OpenAI API, Agentic AI, Fine-tuning, Prompt Engineering, Vector Databases (Pinecone, Weaviate).
- Azure
- Databases
- Deep Learning
- Docker
- Git
- Linux
- Python
- SQL
Data Scientist / Machine Learning Engineer
Brasil
- 6 años de experiencia
I am an Environmental Engineer with a strong foundation in carbon calculations and sustainability analysis, including in-depth research on carbon credits as a commodity for Brazil. My thesis explored how the carbon credit market can present significant economic opportunities for countries like Brazil, given its rich biodiversity and potential for emission reduction projects. Before transitioning into Machine Learning projects, I conducted numerous analyses related to carbon and sustainability. I am now eager to combine my expertise in environmental engineering with data science to drive impactful solutions in both fields.
- Data & Analytics
- Data Analysis
- Data Analytics
- data mining
- JavaScript
- Machine Learning
- MySQL
- Problem Solving
Full-Stack AI Software Engineer
Brasil
- 11 años de experiencia
Programming Languages ▕ Strong: Python, Javascript, TypeScript, Golang (Go) ▕ Advanced: Java, C++ Frontend ▕ Js: Redux, React ▕ Ts: Next.js, Nest.js ▕ Styling: CSS, SCSS, SASS, Tailwind CSS Backend ▕ Relational Databases: SQL, MySQL, PostgreSQL, Prisma ▕ NoSQL: Cassandra, MongoDB, Redis, Memcached, Vector Database, Pinecone ▕ Graphs Algorithms, Databases: Neo4j ▕ Misc: Workflows, kubeflow, Apache Airflow, Temporal ▕ Py Frameworks: REST API: Flask, Django, DRF, FastAPI, Streamlit ▕ Js Frameworks: Node.js, Express, GraphQL, Apollo, Vite DevOps ▕ DevOps, CI/CD and GitOps ▕ Docker, Kubernetes, Helm, ArgoCD, Istio, Prometheus, Grafana, Nginx ▕ Jenkins, Ansible, Github Actions, Terraform, HDL ▕ Elastic Stack (ELK) : Elasticsearch, Kibana, Logstash, Fluentd AWS ▕ AWS EC2, ECS, S3, EKS, Fargate, RDS, SQS, SQN, Lambda and Serverless ▕ AI Platform, DynamoDB, Frameworks, Services ▕ ML - Machine Learning: Sagemaker, Architecture, Pipelines, Model Training, Testing, Deployment, Serving and
- Ansible
- C++
- CI/CD
- Computer Vision
- CSS
- CSS3
- Deep Learning
- DevOps
Principal AI Engineer
Brasil
- 8 años de experiencia
AI Infrastructure Architect and Data Engineer with 6+ years of experience. Specialized in multi-agent orchestration, RAG/GraphRAG pipelines, and multi-tenant data platforms. Lead architect of a $15M+ AI business intelligence platform serving 800K+ consumers monthly across 200+ businesses with quad-database sync architecture. ISO 27001 certified. Hands-on with sensitive data encryption and LGPD compliance for judicial systems.
- AngularJS
- Azure
- C++
- CI/CD
- Docker
- JavaScript
- Kubernetes
- MongoDB
Growth, CRO & Customer Experience Analyst
Brasil
- 10 años de experiencia
Growth and CRO Specialist with 8+ years of experience helping companies improve conversion, retention, customer experience and revenue through experimentation, analytics and AI-powered workflows. I have worked with brands such as Nespresso, Nestlé, Natura, The Body Shop, Galderma and Cantu / PneuStore, supporting growth and optimization initiatives across high-scale e-commerce and digital operations. My expertise is focused on Conversion Rate Optimization (CRO), A/B Testing, funnel analysis, user behavior research, marketing analytics, customer experience and product optimization. Key achievements: • Improved CTR by 70% and reduced CPA by 27% • Supported experimentation programs across high-traffic e-commerce operations • Worked on digital experiences serving more than 1.5 million monthly users
- A/B Testing
- Customer Experience
- Google Ads
- Google Analytics
- Google Apps
- Market Analysis
- Query Optimization
- SEO
Administrative Assistant (Systems & IT Analyst function)
Brasil
- 7 años de experiencia
IT infrastructure and support analyst with 4+ years across corporate IT support, infrastructure, facilities automation, and live-event A/V. As the sole internal IT owner at a 12-department organization, I ran 53 endpoints and 31 ERP users single-handedly, administered 26+ vendor contracts, and handled ~18 support tickets a day — often solving problems the outsourced team couldn't. I work best owning a system end to end: documenting it, troubleshooting unaided, and automating recurring work for reliability. I'm a partner in a B2B 3D-printing venture and a Computer Science student specializing in Machine Learning. I work fully remotely (Brazil, UTC−3) and communicate in fluent English.
- Bash
- Conflict Management
- Content Management
- Docker
- Git
- Helpdesk
- Inventory Management
- JavaScript
AI Engineer
Brasil
- 26 años de experiencia
AI Engineer with 25 years in tech, bridging large-scale infrastructure and modern machine learning. I’ve built Retrieval-Augmented Generation (RAG) systems handling tens of millions of documents, fine-tuned LLMs for production, and optimized inference at the GPU kernel level with Triton. Throughout my career, I’ve worked across cloud infrastructure, backend development, and developer tooling, now focusing on designing and deploying agentic workflows and modular pipelines that combine LLMs, vector databases, and hybrid search. I take projects from prototype to production using Python, FastAPI, PyTorch, and Kubernetes, always optimizing for speed, reliability, and maintainability.
- Ansible
- Bash
- Datadog
- Docker
- Grafana
- Java
- Kubernetes
- Linux
Cómo se contrata
- 1
Buscá
Describí el perfil en tus palabras. El buscador consulta la red en vivo y te ordena los candidatos por match.
- 2
Mirá el video
Cada perfil tiene ficha pública con video de presentación, habilidades y experiencia.
- 3
Entrevistá
Interfell coordina las entrevistas y hace la evaluación técnica antes de presentar a nadie.
- 4
Contratá
Interfell puede ser el empleador de registro en Brasil: nómina, contrato y cumplimiento local, sin abrir entidad.
Preguntas frecuentes
¿Cuántos ingenieros de IA y machine learning de Brasil puedo ver aquí?
Ahora mismo hay 72 perfiles de ingenieros de IA y machine learning en Brasil con perfil público SPK y video de presentación. El listado se actualiza solo: son los mismos perfiles que devuelve el buscador de Interfell, que consulta en vivo la red de Simera.
¿Hace falta registrarse para ver los perfiles?
No. Es gratis: te registras con tu correo de empresa, sin contraseñas, y ves los perfiles con video y habilidades. Los datos de contacto y el CV solo se comparten cuando avanzas con Interfell en un proceso de contratación.
¿Cuánto cuesta contratar ingeniero de IA en Brasil?
Depende de la seniority y del stack. La referencia pública está en la guía salarial de Interfell para Latinoamérica; el costo total incluye además nómina y cumplimiento local, que Interfell puede asumir como empleador de registro para que no tengas que abrir entidad en Brasil.
¿En qué horario trabajan?
Brasil está en UTC-3 (dos horas más que Nueva York), así que con equipos de Estados Unidos coincide la jornada completa o casi, y con España hay compatibilidad de horarios (coincidencia en más del 60 % de la jornada laboral).
¿Cómo se verifica que el perfil es real?
Cada perfil de esta lista tiene un SPK: una ficha pública con video de presentación grabado por la persona, habilidades declaradas y experiencia. Sin video no aparece acá. Encima, Interfell hace su propia evaluación técnica antes de presentar a nadie a un cliente.
Otros roles en Brasil
- Contratar desarrolladores full stack en Brasil
- Contratar desarrolladores backend en Brasil
- Contratar desarrolladores frontend en Brasil
- Contratar desarrolladores móviles en Brasil
- Contratar ingenieros y analistas de datos en Brasil
- Contratar ingenieros DevOps y cloud en Brasil
- Contratar ingenieros QA y de automatización en Brasil
- Contratar diseñadores UX/UI en Brasil
Ingenieros de IA y machine learning en otros países
¿Listo para contratar en Brasil?
Interfell se encarga del reclutamiento, la evaluación técnica, el contrato y la nómina en toda Latinoamérica. Vos elegís a la persona; nosotros hacemos que trabajar con ella sea legal, simple y rápido.