Aktualne oferty pracy związane z AI Data Scientist - Warszawa, Mazovia - AXA Avanssur SA Oddział II w Polsce
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AI Data Scientist
2 tygodni temu
Job Description
We are seeking a highly skilled AI Data Scientist to join our team at AXA Avanssur SA Oddział II w Polsce. As a key member of our MLOps initiative, you will play a crucial role in modernizing the development of our actuarial pricing models.
This project involves automating model training, deployment, and monitoring processes to ensure our actuaries can operate with increased efficiency, reproducibility, and scalability in a production environment.
You will work closely with our ML Engineering team and actuaries to audit and optimize the reliability and scalability of their model training pipelines. Additionally, you will develop effective monitoring strategies to track the performance, reliability, and efficiency of the system.
About the Role
- Create continuous integration templates tailored for model development ensuring version control, testing, and reproducibility of our actuarial pricing models and datasets.
- Manage the end-to-end operation of our AI platform to guarantee high availability, responsive performance, and secure data handling during document ingestion and processing.
- Oversee the integration and management of cloud resources to optimize cost, performance, and compliance with security standards, thereby enabling continuous innovation on the platform.
Requirements
- Bachelor's or Master's degree in Mathematics, Computer Science, Machine Learning, or related field.
- Mastery over Data Science frameworks (pandas, pyspark, sklearn and shap) and MLOPS frameworks (MLFlow, Kedro/Airflow, Hyperopt/Optuna and Great Expectations) in Python.
- Experience with building GenAI agentic workflows using Langchain or smolagents.
- Basic familiarity with Dashboarding tools (PowerBI/Tableau).
- Strong understanding of DevOps methodologies (CI/CD) and experience implementing Github Actions (or similar) workflows.
- Experience with serving models with APIs using Flask or FastAPI.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes).
Benefits
- Sharing the costs of sports activities
- Private medical care
- Sharing the costs of foreign language classes
- Sharing the costs of professional training & courses
- Remote work opportunities
- Flexible working time
- Fruits
- Integration events
- Corporate gym
- Corporate sports team
- No dress code
- Video games at work
- Coffee / tea drinks
- Parking space for employees
- Leisure zone
- Sharing the commuting costs
- Employee referral program
