Teams at Capco

Develop data science and AI solutions using Python and Django, including data collection, labeling, curation, feature engineering, classical machine learning, and generative AI. Deploy models to production using CI/CD, Airflow, and MLflow; automate modeling pipelines and monitor model drift. Collaborate with stakeholders in Agile Scrum teams, improve testing and automation practices, and analyze business requirements.

Build and industrialize reliable, scalable AI solutions and production ML pipelines. Bridge data science and IT production teams, manage Python environments, data sourcing, MLOps, model deployment, Airflow orchestration, Denodo integration, CI/CD, containerization, monitoring, security, and automation. Collaborate with international teams and promote testing, code quality, and technology improvements.

Develop and test Java-based APIs, backend services, and microservices using Spring Boot and related technologies. Responsibilities include API design and documentation, code reviews, automated testing, troubleshooting, security implementation, database integration, and CI/CD support. The role works with business analysts and technical leads to translate requirements into solutions, manages priorities and risks, contributes to support activities, and coaches other developers. Requires independent end-to-end development capability and strong communication and problem-solving skills.