A sample of what the search returns for this combination. Each one has a public card with video; contact details and the CV are shared during the process with Interfell, not here.
Project Manager
Brasil
As a senior marketing and leadership professional with over 16 years of experience, I specialize in driving lead generation and revenue growth for service-based businesses. My expertise includes advanced Local SEO, reputation management, and data-driven marketing strategies, underpinned by an MBA in Data Science & AI. I am passionate about building and empowering high-performing teams, fostering a collaborative and results-driven culture. My career journey includes founding and scaling a digital marketing agency, serving over 100 businesses across Brazil, the US, and Portugal, and achieving significant ROI for clients. I am currently seeking a leadership position in marketing to drive innovation, expand market reach for ambitious brands, and leverage emerging technologies for impactful business results.
- Case Management
- Digital Marketing Strategies
- Marketing
- E-Marketing
- Marketing and Campaign Management
- Marketing Strategy
- Campaign Planning & Execution
- Digital marketing
View profile and video →AI Engineer
Brasil
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
View profile and video →Data Engineer
Brasil
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
View profile and video →Senior Machine Learning Engineer / AI Systems Architect
Brasil
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
View profile and video →Data Scientist / Machine Learning Engineer
Brasil
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
View profile and video →AI Engineer Lead
Brasil
Lead AI Software Engineer with over 5 years of experience in software development and data science, including 3+ years specifically architecting and deploying production-ready Generative AI and machine learning products. Highly proficient in Python and JavaScript/TypeScript, with deep expertise in modern machine learning architectures (Deep Neural Networks, Transformers, LLMs), MLOps, and scalable cloud deployments (AWS, Azure), holding over 7 industry certifications
Strong analytical and storytelling capabilities, utilizing tools like Streamlit and Power BI to translate complex AI methodologies into strategic, operationally feasible insights. Exceptional communicator with a proven ability to build trust, create alignment, and secure buy-in across technical and non-technical business stakeholders to drive continuous innovation.
- Agile
- AWS
- Azure
- Banking
- Cloud Computing
- Deep Learning
- Docker
- Git
View profile and video →AI Engineer
Brasil
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
View profile and video →Data Analyst
Brasil
Data Analyst · Loggi
- Data Analysis
- Python
- SQL
- Tableau
- Looker
- R Studio
- Attention to Detail
View profile and video →Azure Data Engineer
Brazil
Skilled and highly qualified professional with 8 years of experience in the field. Holds a Master’s Degree in Data Science, Bachelor's Degree in Computer Engineering and MBA in Project Management.
Strong background in Azure technologies, excelled in roles such as Azure Data Engineer and Data Scientist. He has extensive knowledge and hands-on experience in designing and implementing robust data pipelines, utilizing tools like Azure Data Factory and Databricks. Adept at transforming raw data into valuable insights, employing ETL/ELT techniques, advanced analytics, and Data Science.
- Azure
- CI/CD
- Data Analysis
- Deep Learning
- Machine Learning
- Neural Networks
- Python
- Spark
View profile and video →Senior AI Engineer
Brasil
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
View profile and video →Full Stack Software Engineer & AI Engineer
Brasil
Full Stack Software Engineer and Generative AI Engineer with 5+ years of experience building scalable applications, AI-powered products, and automation systems across finance, telecommunications, and enterprise environments. He has hands-on experience leveraging Claude Code and other modern AI frameworks to design and deploy agentic workflows, intelligent automation pipelines, and AI-driven business solutions. At his own company, he architected enterprise-grade automation systems using Claude Code, n8n, and Google ADK, helping clients reduce manual operational workloads by up to 75% while supporting thousands of AI-powered interactions monthly.
- AWS
- CI/CD
- Computer Science
- Git
- Jira
- Kubernetes
- Machine Learning
- Microservice
View profile and video →Full-Stack AI Software Engineer
Brasil
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
View profile and video →