AI Engineer / GenAI Specialist

SN Horizon; Paris; On-site; EUR 90,000 - 120,000; Full time

Job summary

SN Horizon in Paris, France, is seeking a talented AI/ML engineer to develop and deploy models for NLP, computer vision, and predictive analytics, enabling businesses to automate decisions and enhance customer experiences. You will design deep learning solutions using TensorFlow, PyTorch, Keras, and Scikit-learn, and work with LLMs and Generative AI for text, image, and speech applications.

You will deploy APIs with Flask or FastAPI and cloud services, ensure data privacy and GDPR compliance,

Qualifications

• Experience with TensorFlow, PyTorch, Hugging Face, OpenAI API.
• Strong programming skills in Python, Scala, or Java.
• Experience deploying AI models into production and building APIs.

Responsibilities

• Develop and deploy AI models for Natural Language Processing (NLP), Computer Vision, and Predictive Analytics, enabling businesses to automate decision-making, enhance customer experiences, and drive innovation.
• Design and implement deep learning and machine learning algorithms, leveraging frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn to solve complex data problems.
• Work with Large Language Models (LLMs) and Generative AI, fine-tuning and integrating solutions like GPT, BERT, Llama, and Stable Diffusion for advanced text, image, and speech-based applications.
• Optimize and fine-tune AI models for scalability and efficiency, ensuring low-latency performance in production environments through quantization, model pruning, and distributed computing.
• Develop APIs and integrate AI models into production systems, working with Flask, FastAPI, or cloud-based AI services (AWS SageMaker, Google Vertex AI, Azure AI) to deliver real-world applications.
• Enhance AI explainability and interpretability, ensuring ethical AI practices by implementing techniques such as SHAP, LIME, and adversarial robustness testing.
• Stay updated on AI advancements, researching and experimenting with new architectures, zero-shot learning, reinforcement learning, and self-supervised models to maintain a cutting-edge AI strategy.
• Ensure data privacy, bias mitigation, and compliance, following best practices in AI governance, responsible AI frameworks, and regulatory standards such as GDPR and HIPAA.

Skills

Python

Scala

Java

Tools

TensorFlow

PyTorch

Keras

Scikit-learn

Job description

• Develop and deploy AI models for Natural Language Processing (NLP), Computer Vision, and Predictive Analytics, enabling businesses to automate decision-making, enhance customer experiences, and drive innovation.
• Design and implement deep learning and machine learning algorithms, leveraging frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn to solve complex data problems.
• Work with Large Language Models (LLMs) and Generative AI, fine-tuning and integrating solutions like GPT, BERT, Llama, and Stable Diffusion for advanced text, image, and speech-based applications.
• Optimize and fine-tune AI models for scalability and efficiency, ensuring low-latency performance in production environments through quantization, model pruning, and distributed computing.
• Develop APIs and integrate AI models into production systems, working with Flask, FastAPI, or cloud-based AI services (AWS SageMaker, Google Vertex AI, Azure AI) to deliver real-world applications.
• Enhance AI explainability and interpretability, ensuring ethical AI practices by implementing techniques such as SHAP, LIME, and adversarial robustness testing.
• Stay updated on AI advancements, researching and experimenting with new architectures, zero-shot learning, reinforcement learning, and self-supervised models to maintain a cutting-edge AI strategy.
• Ensure data privacy, bias mitigation, and compliance, following best practices in AI governance, responsible AI frameworks, and regulatory standards such as GDPR and HIPAA.

Responsibilities

• Develop and deploy AI models for Natural Language Processing (NLP), Computer Vision, and Predictive Analytics, enabling businesses to automate decision-making, enhance customer experiences, and drive innovation.
• Design and implement deep learning and machine learning algorithms, leveraging frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn to solve complex data problems.
• Work with Large Language Models (LLMs) and Generative AI, fine-tuning and integrating solutions like GPT, BERT, Llama, and Stable Diffusion for advanced text, image, and speech-based applications.
• Optimize and fine-tune AI models for scalability and efficiency, ensuring low-latency performance in production environments through quantization, model pruning, and distributed computing.
• Develop APIs and integrate AI models into production systems, working with Flask, FastAPI, or cloud-based AI services (AWS SageMaker, Google Vertex AI, Azure AI) to deliver real-world applications.
• Enhance AI explainability and interpretability, ensuring ethical AI practices by implementing techniques such as SHAP, LIME, and adversarial robustness testing.
• Stay updated on AI advancements, researching and experimenting with new architectures, zero-shot learning, reinforcement learning, and self-supervised models to maintain a cutting-edge AI strategy.
• Ensure data privacy, bias mitigation, and compliance, following best practices in AI governance, responsible AI frameworks, and regulatory standards such as GDPR and HIPAA.

Requirements

• Experience with TensorFlow, PyTorch, Hugging Face, OpenAI API.
• Strong programming skills in Python, Scala, or Java.