Lead Developer GenAI Specialist

Le besoin

Contexte

A global energy player, resolutely committed to the energy transition and expert in 3 businesses: electricity, natural gas and energy services.

Leveraging value through AI/Generative AI is one of the main ambitions of the organization. As part of the (Gen)AI Transformation team, we would like to strengthen our technical expertise with key Data resources. This team is in action at the beginning of the use cases life cycle, as a key enabler, to help Group Businesses in their path to scaling-up.

Responsabilités

As a Generative AI Data Engineer, your roles & responsibilities will be to:

• Work on transforming raw data into a usable form that is crucial for the functioning of generative AI models

• As part of our projects with entities, build efficient data pipelines for data ingestion, preprocessing, and model input

• Work on preprocessing of input data to prepare it for vectorization and model ingestion: tasks like text cleaning, tokenization, and feature extraction, depending on the nature of the data

• In case of needs, work on generation of SQL Queries, based on existing datasets, which can be helpful for data scientists who need to quickly and easily access the data they need for their research

• More generally, contribute to building, testing, and maintaining database pipeline architectures tasks

• Contribute to the implementation of evaluation frameworks to measure Generative AI models efficiency & performance (speed, scalability, etc.), ground truth dataset quality, and guide product development roadmap

• Develop robust evaluation metrics and methodologies to assess the quality, fluency, and coherence of generated content. Iterate on models based on evaluation results and user feedback

• Ensure data security and compliance with regulations by implementing security measures and data privacy protocols to protect sensitive information

• Document the work around Data Engineering to facilitate collaboration with other team members (especially Data Scientists) and ensure knowledge sharing

• Communicate findings to technical and non-technical stakeholders

Importance 1 Data Engineering - Advanced (5-7 years included)

Importance 3 Data Science - Advanced (5-7 years included)

Importance 2 Generative AI - Confirmed (2-4 years included)

Importance 3 Project Management - Confirmed (2-4 years included)

Importance 2 Agility - Advanced (5-7 years included)

Importance 1 Software Engineering processes - Confirmed (2-4 years included)