Lead Machine Learning Engineer
Há 3 dias
Company Overview:
Cegid is a leading company in the management software industry, dedicated to advancing its product line through AI innovation.
Salary and Benefits:
The estimated annual salary for this position is between 120,000€ and 180,000€, depending on experience. Additionally, benefits include an annual bonus based on achievement of goals, a hybrid and flexible work model, 25 days of vacation per year, health insurance, access to online learning platforms and in-house academy, opportunities for training and certifications, and integration into a dynamic team.
Job Description:
We are seeking a highly skilled and experienced Senior Data Scientist with a strong background in developing machine learning models, ideally in the finance and accounting sector. The ideal candidate will play a pivotal role in advancing our data science capabilities, focusing on building robust models that enhance decision-making processes and drive business intelligence.
Key Responsibilities:
- Lead the design, development, and implementation of machine learning models tailored for finance and accounting applications.
- Work closely with cross-functional teams to identify and define business problems that can be solved through advanced analytics.
- Explore and develop generative AI models to address challenges and opportunities in the finance and accounting domain.
- Collaborate with research and development teams to stay at the forefront of generative AI technologies.
- Demonstrate an interest in and familiarity with MLOps tools and practices to streamline the deployment, monitoring, and management of machine learning models.
Required Skills and Qualifications:
- Advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
- Proven experience (3+ 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.
- Experience with generative AI models and/or NLP is a plus.
- Familiarity with MLOps tools and practices.
- Excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
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