Distinguished Data Scientist providing technical leadership for next - generation AI systems at Walmart. Driving system design and advanced solution development for impactful machine learning applications at scale.
About the role
- Data Scientist role at Mundiale, focusing on AI solutions and NLP technologies within a collaborative team environment. Responsibilities include model development and implementation.
Responsibilities
- Implement and test prompt engineering strategies, RAG and model integration in prototype and production environments.
- Build and evolve AI agents based on LLMs for automated customer support in chatbots.
- Develop, train and evaluate text classification models for intent recognition and other NLP use cases.
- Create data pipelines for preparing, cleaning, balancing and enriching textual datasets.
- Define and monitor performance metrics, performing statistical analyses for continuous model improvement.
- Work closely with Product, Engineering and Data Science teams to translate business needs into applied AI solutions.
Requirements
- Degree in Statistics, Data Science, Computer Science or related fields.
- Proficiency in Python programming and experience with libraries such as Pandas, Scikit-learn, Transformers and visualization tools (Matplotlib, Seaborn, Plotly).
- Knowledge of applied statistics and exploratory data analysis, including hypothesis testing, classification metrics and model validation.
- Experience training and evaluating classical classification models (logistic regression, tree-based models, etc.).
- Knowledge of NLP, with a focus on BERT and semantic representation techniques such as embeddings.
- Experience with LLMs, prompt engineering, AI agents and use of RAG architectures in customer service chatbots.
- Practical experience applying AI to products and automating conversational flows.
Benefits
- Flexible Benefit (allocate according to your needs: culture, ride-sharing/taxi app, subscriptions, gym, food, etc.)
- Unimed Unipart Health Plan
- Career development path
- Hybrid work
- Day Off
- Short Friday
- Collaborative and dynamic work environment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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