Data Scientist - AI Factory - F/M/NB Lisboa

Data Scientist - AI Factory - F/M/NB
Lisboa
Lisboa, Lisboa, Portugal

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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 4, 400 employees make more possible by helping their 500, 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.

Your Main Objectives As a Data Scientist

You will play a pivotal role in advancing our data science capabilities, developing machine learning models, focusing on building robust models that enhance
- making processes and drive business intelligence.

As a Data Scientist, You Will

• 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.
• Advanced degree (MSc or Ph
  D) 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.
  
  

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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Machine Learning Scientist I - Experiences

Machine Learning Scientist I - Experiences

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