AI Innovator
We are seeking a highly skilled Data Scientist to support the development and implementation of advanced data strategies.
* Develop and implement data-driven solutions to drive business objectives and innovation.
* Collaborate with business and technology teams to identify opportunities for improvements.
* Design, train, and validate machine learning models.
* Monitor and optimize model performance to ensure accuracy and relevance.
* Evaluate and fine-tune pre-trained models to address specific challenges.
* Ensure data privacy, security, and bias mitigation in AI models.
* Build prediction and recommendation models, providing actionable insights.
* Collaborate with data engineers to design efficient data pipelines.
* Maintain data inventories and dictionaries, ensuring data quality and consistency.
* Drive innovation by proposing improvements and new business solutions using generative AI.
* Stay current with advances in AI, NLP, and emerging frameworks.
* Promote a data-driven culture within cross-functional teams.
Requirements
* Bachelor's degree in a technology-related field.
* Solid experience with Machine Learning algorithms, from design to deployment and automation.
* Proven background developing Data Science solutions: optimization, classification, prediction, statistical analysis, and NLP.
* Hands-on experience with Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and Generative AI (e.g., Amazon Bedrock).
* Strong proficiency in Python, statistics, and AI/ML frameworks.
* Advanced knowledge of relational (SQL Server, PostgreSQL) and non-relational databases.
* Experience with Databricks (Spark optimization, Delta Lake, MLflow).
* Familiarity with AWS services such as S3, Athena, Glue, SageMaker, and QuickSight.
* Experience implementing MLOps best practices.
* Advanced English (verbal and written).
Nice to Have
* Expertise in Big Data and advanced use of Databricks to accelerate AI and analytics initiatives.
* Research or projects published in NLP or Generative AI fields.