Join a company that loves transforming with technology and embraces diversity in all its forms! **Responsibilities and Duties** Develop and implement Artificial Intelligence, Machine Learning, and Generative AI solutions. Translate business challenges into analytical models and AI/ML algorithms. Develop intelligent agents capable of interpreting documents, time series, and analytical models. Maintain and evolve corporate Data Science and Machine Learning environments. Participate in building, integrating, and deploying models in production environments using MLOps practices. Configure and administer AI/ML platforms in cloud environments and containerized infrastructure. Ensure compliance with security, privacy, and data governance requirements. Collaborate with multidisciplinary teams to deliver scalable and innovative solutions. Document architectures, data flows, models, and technical decisions. Conduct proofs of concept (PoCs), track technological trends, and promote continuous improvement. Provide technical support and mentorship to internal teams. **Requirements and Qualifications** **Mandatory:** Bachelor's degree in Computer Science, Engineering, Information Systems, or related fields. Solid experience in AI, Machine Learning, and Data Science projects. Proficiency in Python and SQL. Experience with Azure Machine Learning, OpenAI via Azure, or similar platforms. Knowledge of MLOps, CI/CD, versioning, and pipeline automation. Experience with Docker, Kubernetes, and/or OpenShift. Hands-on experience in Linux environments. Knowledge of microservices architecture and distributed systems. Knowledge of LGPD, data governance, and information security best practices. **Additional Information** **Desirable:** Supervised and unsupervised Machine Learning. Deep Learning and Natural Language Processing (NLP). Regression, classification, clustering, time series, and anomaly detection models. IBM Cloud Pak for Data, Watson Machine Learning, and DataStage. Azure AI, Azure Machine Learning, and foundational models. GitHub Enterprise, Azure DevOps, and Jenkins. JupyterLab, VS Code, and RStudio. Bash and R. Model governance, explainability (XAI), monitoring, and model lifecycle management. Postgraduate degree in Artificial Intelligence, Machine Learning, or related fields. Certifications in Azure AI, AWS Machine Learning, IBM Data Science, Kubernetes (CKA), OpenShift, or Linux (LPIC). Experience in regulated environments and with sensitive data. Experience with intelligent automation and AI agent platforms. Want to learn more about us and join the team building the future? **\#JoinSpread** **Transforming the world with technology** We are nearly 2\.500 Spreaders, spread across 22 Brazilian states through Spread Anywhere, enabling us to work **100% remotely**, depending on the contract model. We are digital, hyperconnected, and practice one of our core cultural values — \#collaboration — every day, wherever we are. **Innovation to shape the future** Spread is an innovation company with 41 years of history, offering comprehensive solutions in technology and digital business. Today, we offer a robust portfolio of services, including application development, Quality Assurance, IT Outsourcing, Talent on Demand, as well as AI solutions development and SAP and S/4HANA consulting and implementation. We adopt a customer-centric approach where customer experience is our top priority and guides our actions and strategies. This commitment is reflected in our NPS score of 75 points — placing us in the quality zone and demonstrating our customers’ trust and satisfaction. **Diversity, Equity & Inclusion** Here, diversity and inclusion are not just words — they are a genuine commitment. We strive to ensure all Spreaders feel **valued, respected, and empowered** to reach their full potential. We recognize that true diversity goes beyond superficial aspects and encompasses a broad range of characteristics, including gender, ethnicity, sexual orientation, age, and abilities.
João Silva
Indeed · HR
João Silva
Indeed · HR
