Collaborate on innovative data solutions with a team of consultants, data scientists, and engineers.
Manage end-to-end project value chain including data collection, analysis, ML models, and production.
Communicate technical concepts to business stakeholders and prioritize tasks with deadlines.
Artefact LatAm is a data consulting firm that helps clients transform their data strategy using advanced analytics and AI. They focus on building a diverse and inclusive culture where all voices are heard and valued.
Design and maintain scalable data pipelines for ingestion, transformation, and delivery into data warehouses, feature stores, and ML/AI systems.
Build workflows for processing unstructured data and develop semantic representations to enable advanced search, retrieval, and LLM-powered applications.
Collaborate with stakeholders to translate business requirements into scalable data and ML solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They use technology to review applications and share top-fitting candidates directly with employers, ensuring a fair and efficient hiring process.
Design and maintain interactive dashboards and analytical models using Power BI and Tableau.
Write and optimize complex SQL queries and use Python for automation and data processing.
Partner with global stakeholders to drive data-driven decision-making in an Agile environment.
Our partner is a fast-evolving company focused on data-driven transformation. They foster a collaborative and international culture with a strong emphasis on professional development and continuous learning.
Design, build, and maintain scalable data and ML pipelines for analytics and AI systems.
Build and optimize workflows for structured and unstructured data, enabling semantic search and RAG use cases.
Manage and optimize vector databases and indexing strategies for efficient retrieval and AI-powered search.
This is a partner company seeking a Data & Machine Learning Engineer based in Brazil. They operate in a highly technical and global environment with strong emphasis on scalability, performance, and innovation.
Act as a trusted technical advisor bridging business strategy and cloud architecture for global clients.
Design and implement AWS-based data lake architectures using Medallion patterns for scalable platforms.
Drive AI/ML-ready platform design with MLOps capabilities and agentic AI integration.
CI&T helps large enterprises transform AI potential into business impact with technology-integrated solutions. With 8,000 employees across over 25 countries, they collaborate to build innovative solutions with a focus on AI-driven transformation.
Act as a technical advisor for Databricks integration with data privacy and governance tools to ensure LGPD compliance.
Guide data discovery, classification, and scanning processes across the Data Lake.
Collaborate with cross-functional teams to design secure, scalable, and compliant data solutions.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across more than 25 countries, we collaborate to build solutions with real impact.
Own the full data science engine for a priority vertical from business problem to deployed model, driving measurable revenue and media efficiency.
Deliver buying models that maintain positive ROAS and quality across Insurance and Advertiser Quality.
Establish trusted, direct partnership with vertical business stakeholders and produce validated, documented output.
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
Lead and support Data Engineering teams, driving technical excellence and mentoring engineers in scalable data solutions.
Design and oversee data solutions using Databricks, Apache Spark, and cloud platforms like AWS, Azure, or GCP.
Collaborate with clients and stakeholders to define technical strategies and ensure high-quality, business-driven outcomes.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25+ countries, they foster a collaborative culture focused on innovation and growth.
Build and maintain robust ETL/ELT pipelines for data integration across enterprise systems.
Implement data governance initiatives including quality, metadata management, and cataloging.
Collaborate with cross-functional teams to optimize data processes and ensure data integrity.
Jobgether is an AI-powered job-matching platform that connects candidates with hiring companies. They operate with a diverse and technology-focused team in a collaborative remote work culture.
Design, build, and evolve large-scale, cloud-based data platforms supporting analytics, machine learning, and business intelligence.
Lead the development and optimization of scalable ETL/ELT pipelines for batch and near real-time processing.
Define data architecture standards, modeling approaches, and governance frameworks across projects.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They process applications using AI to ensure fair review and share shortlisted candidates directly with employers.