AI Engineer (Data Science & Backend Development) - AI Factory Braga

AI Engineer (Data Science & Backend Development) - AI Factory
Braga
Braga, Braga, Portugal

Cegid is a European leader in cloud business management solutions for finance (cash-flow, tax, ERP), human resources (payroll, talent management), CPAs, retail, and entrepreneurial sectors. In today’s rapidly changing world, Cegid & its 5, 000 employees make more possible by helping their 750, 000 customers unleash their potential thanks to innovative and purposeful business solutions. Make more possible is our vocation. It reflects who we are, how and why we do things the way we do them for our clients. Thanks to this, we can affirm that we work every day to shape your future, ours, and our clients’ industries’ future. A future we have been defining for years with our employees, by inventing solutions that change the way people work, for a sustainable performance.

@AI Factory

The AI Factory is dedicated to advancing our management software through AI innovation. Our primary goal is to seamlessly integrate AI features into our product line, either by enhancing functionality and user experience or by recreating user workflows to take full advantage of AI technology.

About the Role:

We are seeking a highly skilled AI Engineer with a unique blend of Data Science and Backend Development expertise. This role involves designing, building, and deploying AI-driven solutions while ensuring seamless backend integration. The ideal candidate has experience working with Machine Learning (ML) models, Generative AI, and. NET (C#)/Python backend services, making them a crucial part of our AI-powered product development.

As an AI Engineer, you will:

1. Design, develop, and deploy optimized AI/ML models for performance and scalability;
2. Integrate NLP and Generative AI models into business applications;
3. Develop and maintain backend services in. NET (C#)/Python to support AI-driven applications;
4. Build RESTful APIs and microservices to expose AI functionalities to other applications;
5. Work with databases (SQL, No
   SQL) for storing, processing, and retrieving data;
6. Deploy and monitor AI solutions in cloud environments (Azure);
7. Collaborate with
   - functional teams to integrate AI capabilities into enterprise solutions;
8. Ensure best practices in security, performance, and maintainability of backend services.