AI and Data Specialist Needed
Há 7 dias
As a Data Scientist at Hiire, you'll have the opportunity to work on exciting projects that advance our management software through innovative AI solutions. We're looking for a skilled professional with advanced knowledge of machine learning models and experience in developing robust solutions that drive business intelligence.
About The RoleOur AI Factory is dedicated to advancing our management software through AI innovation. The primary goal is to seamlessly integrate AI features into our product line, enhancing functionality and user experience.
You'll be responsible for leading the design, development, and implementation of machine learning models tailored for finance and accounting applications. This includes exploring and developing generative AI models to address challenges and opportunities in the finance and accounting domain.
- Machine Learning Model Development: Lead the design, development, and implementation of machine learning models tailored for finance and accounting applications;
- Generative AI Models: Explore and develop generative AI models to address challenges and opportunities in the finance and accounting domain;
- Collaboration: Collaborate with finance and accounting experts, software engineers, and data engineers to integrate machine learning solutions into existing systems;
- MLOps Tools: Demonstrate an interest in and familiarity with MLOps tools and practices to streamline the deployment, monitoring, and management of machine learning models.
- Advanced Degree: Advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline;
- Machine Learning Experience: Proven experience (2+ years) in developing and deploying machine learning models, preferably in the finance and accounting domain;
- Programming Skills: Strong programming skills in languages such as Python or R, familiarity with MLOps tools and practices;
- Generative AI Models: Experience with generative AI models and/or NLP is a plus.
What We Offer: Attractive remuneration, annual bonuses, hybrid work models, flexible working hours, 25 days of vacation per year, health insurance, access to online learning platforms, and integration into a dynamic team.
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