Machine Learning Engineer

Há 7 dias


Lisboa, Lisboa, Portugal Hiire Tempo inteiro

Hiire values diversity, inclusivity, and remote work, providing the freedom to work from anywhere globally.

We specialize in recruiting top tech talent for major companies and offer career guidance to ambitious professionals.

We empower businesses to find and retain top talent by streamlining the recruitment process.

Ongoing growth and innovation are crucial to our mission, and we invite professionals to join us.

Working with CEGID, a leader in cloud business management solutions, we seek a Data Scientist to enhance data science capabilities.

About The Job

CEGID requires a Data Scientist to develop and deploy machine learning models that improve business outcomes and inform strategic decisions.

This role involves collaboration within the AI Factory to advance CEGID's management software through AI innovation.

Main Duties
  • Design and implement machine learning models tailored for finance and accounting applications;
  • Explore and develop generative AI models to address challenges and opportunities in finance and accounting;
  • Collaborate with finance and accounting experts, software engineers, and data engineers to integrate machine learning solutions into existing systems;
  • Demonstrate expertise in MLOps tools and practices to streamline model deployment, monitoring, and management.
Required Qualifications
  • An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline;
  • Proven experience (2+ 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;
  • Advantageous to have experience with generative AI models and/or NLP.
Our Benefits
  • Competitive compensation packages and annual performance-based bonuses;
  • A flexible work environment with 25 days of vacation per year;
  • Access to online learning platforms and internal training programs;
  • The opportunity to contribute to a dynamic, innovative, and expanding team.

Talented individuals with relevant skills and experience can make a significant impact on our clients' success and help shape the future.



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