Senior Artificial Intelligence Engineer [Dubai based]

Talent Seed; Paris; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

A leading company seeks a Senior AI Engineer to enhance their AI team in Paris, focusing on Large Language Models. You will design, train, and optimize state-of-the-art AI solutions, ensuring high performance and scalability while developing ethical AI practices. This role is ideal for an expert ready to tackle challenging projects in a collaborative environment.

Qualifications

• Over 4 years of experience as an AI Engineer / Machine Learning Engineer.
• 2+ years of hands-on experience with Large Language Models (LLMs) like GPT, BERT.
• Proven experience deploying LLMs in production environments.

Responsabilités

• Develop, fine-tune, and deploy large language models (LLMs).
• Train deep learning models using advanced techniques and improve model performance.
• Create explainable AI models that meet ethical guidelines.

Connaissances

Machine Learning

Natural Language Processing

Deep Learning

Python

TensorFlow

PyTorch

Outils

AWS

GCP

Azure

Pandas

NumPy

SQL

MLflow

Kubeflow

Description du poste

• This role requires relocation to Dubai, UAE]

We seek Senior AI / ML Engineers with a deep understanding of Large Language Models (LLMs) to join our growing AI team. As a Senior AI Engineer, you will develop and deploy state-of-the-art AI solutions, focusing on LLMs. You will play a hands-on role in designing, training, and optimizing AI models that power our next-generation products. This is an exciting opportunity to be part of a cutting-edge team working on innovative solutions in the AI and customer experience space.

Key Responsibilities :

LLM Development and Deployment :

• Develop, fine-tune, and deploy large language models (LLMs), such as GPT, BERT, OpenAI, or similar ones.
• Optimize LLMs for specific business applications within Lucidya’s product ecosystem, ensuring high performance and scalability.
• Work with the AI Director to define the technical architecture and deployment strategies for LLM-based models in production environments.

AI Model Training and Optimization :

• Train deep learning models using advanced transfer, fine-tuning, and reinforcement learning techniques.
• Continuously monitor and improve model performance by refining datasets, tuning hyperparameters, and leveraging the latest AI frameworks.
• Contribute to creating explainable AI models that meet ethical guidelines and regulatory requirements.

Qualifications :

• Over 4 years of experience as an AI Engineer / Machine Learning Engineer
• 2+ years of hands-on experience with Large Language Models (LLMs) such as GPT, BERT, OpenAI models, or other industry-leading LLMs.
• Proven experience in deploying LLMs in production environments with high performance and scalability.
• Solid background in machine learning, natural language processing (NLP), and deep learning.
• Expertise in programming languages such as Python and frameworks like TensorFlow, PyTorch, and Hugging Face.
• Strong understanding of NLP techniques such as tokenization, transformers, embeddings, and fine-tuning LLMs for various use cases.
• Experience working with cloud platforms (e.g., AWS, GCP, Azure) for large-scale model training and deployment.
• Familiarity with data processing and management tools like Pandas, NumPy, and SQL.

Preferred Skills :

• Experience with explainable AI (XAI) and ensuring ethical AI practices.
• Familiarity with MLOps and AI model lifecycle management tools such as MLflow or Kubeflow.
• Prior experience deploying AI models in the SaaS industry or customer experience space is a plus.

Artificial Intelligence Engineer • Paris, Paris (75); Ile-de-France, France