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HR Talent House Linkedin · Posted 3d ago

AI Engineer

France

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Indexed description

Key Responsibilities

  • Design, develop, and deploy AI/ML solutions to solve business challenges and create value from data.
  • Build, train, evaluate, and optimize machine learning and generative AI models.
  • Develop scalable AI pipelines and integrate AI services into production environments.
  • Collaborate with Data Scientists, Data Engineers, Product Managers, and business stakeholders to deliver end-to-end AI solutions.
  • Monitor model performance, ensure reliability, and continuously improve AI systems.
  • Stay up to date with advancements in AI, machine learning, and generative AI technologies.

Required Qualifications

  • 5–6 years of experience in AI Engineering, Machine Learning Engineering, or a related role.
  • Strong proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience deploying AI/ML models in production environments.
  • Solid understanding of machine learning algorithms, deep learning, NLP, and MLOps practices.
  • Experience with cloud platforms (AWS, Azure, or GCP) and AI services.
  • Familiarity with containerization and orchestration tools such as Docker and Kubernetes.

Nice to Have

  • Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents.
  • Knowledge of vector databases and model serving frameworks.
  • Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker.
  • Exposure to CI/CD pipelines and Infrastructure as Code (IaC).

Soft Skills

  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management abilities.
  • Ability to work independently in a fast-paced environment.
  • Curiosity and passion for emerging AI technologies and innovation.
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