Coody.io

Data Engineer

• Design and set up fully automated data platforms and data pipelines
• Work on technically exciting and intellectually challenging assignments across various industries
• Be adaptable and ready to hit the ground running in new environments
• Typically work on 1-2 assignments per year
• Strengthen client teams and projects as a consultant

Machine Learning Engineer

• Dive into AI projects to build and optimize machine learning models for production use cases, ensuring efficiency and scalability
• Design, develop, and deploy scalable machine learning products
• Design and build ML infrastructure and tooling, often in cloud environments, to support large-scale deployments
• Build and maintain infrastructure and tooling as a platform for data scientists
• Collaborate with cross-functional teams to integrate ML solutions into production systems and with clients
• Monitor and maintain the performance and reliability of ML models post-deployment
• Stay current with the latest advancements in machine learning and related technologies
• Support colleagues and contribute to knowledge sharing

Data Scientist

• Help interesting companies create value from their data by creating analyses, models, and insights from raw data
• Improve and develop machine learning models in production
• Drive product and design decisions based on data together with clients
• Support the organisation and the team by working in a data-driven way and sharing knowledge both within and outside the company
• Be adaptable and ready to hit the ground running in new environments
• Typically work on 1-2 assignments per year to tackle impactful projects with real-world results