Data Scientist (Hybrid | AWS | AI/LLMs)

Description

Job Summary: We are seeking a Data Scientist for an innovative transcription analysis project using LLMs, collaborating with international teams and ensuring solution scalability. Key Highlights: 1. Innovative transcription analysis project using LLMs 2. End-to-end pipeline development on AWS 3. Collaboration with international Technology, Data, and Business teams We are looking for a **Data Scientist** with experience to join an innovative project focused on transcription analysis using Large Language Models (LLMs). **Work Mode:** Hybrid (with high flexibility regarding office attendance days) **Salary:** Flexible, depending on candidate profile **Responsibilities:*** Implement and operationalize a transcription analysis use case using LLMs based on defined prompts. * Develop and maintain the end\-to\-end pipeline in AWS (SageMaker, Bedrock, S3\). * Integrate the solution with transcription data sources and ensure proper processing. * Adapt prompts to different countries or environments when required. * Manage access and configuration across multi\-account AWS environments for international deployments. * Design and develop result persistence in Snowflake. * Ensure output quality, consistency, and performance. * Collaborate with international Technology, Data, and Business teams. * Guarantee solution scalability, maintenance, and evolution. **Technical Requirements:*** 3–6 years of experience as a Data Scientist or similar role. * Proficiency in Python, data pipeline development, and AI solution implementation on AWS (SageMaker, Bedrock, S3, IAM). * Knowledge of prompt engineering applied to transcription analysis (NLP/LLMs) and API-based integration. * Experience with Snowflake (data modeling, table creation, environment management) and SQL databases. * Advanced English level (B2/C1\). * Prior experience in multi\-account / multi\-country environments and MLOps / IAOps practices on AWS is a plus. If you are interested in working on applied AI projects within international settings and cutting-edge technologies, we want to meet you! Location (Hybrid)