About Cegid
Cegid is a European leader in cloud business management solutions for finance, human resources, CPAs, retail, and entrepreneurial sectors.
We help our 500,000 customers unleash their potential with innovative and purposeful business solutions.
The AI Factory
The AI Factory advances our management software through AI innovation. Our goal is to seamlessly integrate AI features into our product line.
This includes enhancing functionality and user experience or recreating user workflows to take full advantage of AI technology.
Job Description
You will play a pivotal role in advancing our data science capabilities, developing machine learning models, and focusing on building robust models that enhance decision-making processes and drive business intelligence.
* Lead the design, development, and implementation of machine learning models tailored for finance and accounting applications.
* Explore and develop generative AI models to address challenges and opportunities in the finance and accounting domain.
* Collaborate with finance and accounting experts, software engineers, and data engineers to integrate machine learning solutions into existing systems.
* Demonstrate an interest in and familiarity with MLOps tools and practices to streamline the deployment, monitoring, and management of machine learning models.
Requirements
* Advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
* Proven experience (4+ years) in developing and deploying machine learning models, preferably in the finance and accounting domain.
* Strong programming skills in languages such as Python or R, familiarity with MLOps tools and practices.
* Experience with generative AI models and/or NLP is a plus.
Our Commitment
We value diversity and offer a professional environment where each person can thrive and express their uniqueness.
* Gender equality
* Inclusion of people with disabilities
* Representation of all diversities
Benefits
* Attractive and transparent remuneration from recruitment
* Annual bonus based on individual and company goals
* Hybrid work model and flexible working hours
* 25 days of vacation per year
* Health insurance
* Access to online learning platforms and internal academy
* Integration into a dynamic team