AI Engineer

About This Opportunity

We are representing a confidential technology organization seeking an AI Engineer to join their team in France. This fully remote position offers the opportunity to build production-ready AI solutions that address real-world challenges at scale. You'll work across the full AI development lifecycle—from data preparation and model development through deployment and MLOps—with exposure to diverse domains including large language models, natural language processing, and computer vision.

Our client values engineers who combine strong machine learning fundamentals with practical engineering skills and can operate independently in fast-changing environments. You'll translate complex AI concepts into actionable insights for both technical and non-technical stakeholders.

Responsibilities

• Design, develop, and deploy machine learning and AI systems for real-world applications at scale
• Build, customize, optimize, and maintain AI models for domain-specific use cases
• Develop and maintain data mining, preprocessing, feature engineering, and data-labeling pipelines
• Work with large datasets to prepare high-quality training and evaluation data
• Apply machine learning techniques across LLMs, NLP, computer vision, and emerging AI domains
• Train, evaluate, optimize, and continuously improve models based on performance metrics
• Design and maintain model deployment and MLOps pipelines for reliable production environments
• Deploy and serve models using cloud platforms and containerized environments
• Utilize Docker, Git, and MLOps tools within collaborative development workflows
• Analyze model performance, identify limitations, and implement improvements
• Communicate technical findings and project progress clearly to diverse audiences

What We're Looking For

• 2–5 years of hands-on experience building and deploying machine learning or AI models in production environments
• Strong proficiency in Python
• Practical experience with PyTorch and/or TensorFlow
• Experience designing and architecting custom AI or machine learning models
• Hands-on knowledge of LLMs, NLP, computer vision, or another relevant AI domain
• Strong understanding of supervised and unsupervised learning, deep learning architectures, optimization techniques, and model evaluation metrics
• Experience with data preprocessing, feature engineering, data mining, and data-labeling pipelines
• Familiarity with MLOps and model deployment tools such as MLflow, Kubeflow, or SageMaker
• Knowledge of cloud platforms and services for model training and serving, such as AWS Lambda
• Experience with Docker and containerized model deployment
• Familiarity with Git and collaborative software development practices
• Strong analytical, troubleshooting, and problem-solving abilities
• Ability to explain complex technical concepts clearly to non-technical stakeholders
• Curiosity-driven mindset, adaptability, and comfort working in an evolving environment
• Ability to work independently while collaborating effectively with distributed teams

How We Work With You

When you apply through Get A Job.ai, our talent team will review your qualifications against the role requirements. Qualified candidates will be screened by one of our recruiters to discuss your background, experience, and career goals. We then present strong matches to our client for consideration. Please do not contact the client directly—all communication and coordination will be managed through Get A Job.ai to ensure a professional and streamlined process.

Pay

This is a full-time, fully remote position based in France. Compensation details will be discussed during the screening process with our recruitment team.

Equal Opportunity

Get A Job.ai is committed to inclusive hiring practices and evaluates all candidates based on qualifications and merit. We welcome applications from diverse backgrounds and experiences.