Full-Time AI Engineer H/F

Daily tasks: Analyze project/use case objectives and requirements based on technical and functional specifications. Select appropriate generative AI solutions based on specific requirements. Apply generative AI solutions to various data types. Optimize data handling with efficient pipelines. Propose fine-tuning methodologies to optimize accuracy and efficiency. Design evaluation frameworks to measure model effectiveness. Ensure data security and regulatory compliance. Document completed work to facilitate collaboration and knowledge sharing. Collaborate with multidisciplinary teams to identify new opportunities. Implement and optimize generative AI solutions. Participate in innovation and monitoring of generative AI and MLOps/LLMOps practices. Provide training on AI and LLMs.

Client types: Large-scale banking, insurance, retail, defense, and luxury clients with innovative projects.

Your contributions: Minimum 3 years of professional experience in data science with generative AI/LLM projects. Expertise in relevant technologies:

• Technical environment: Machine Learning, NLP, Deep Learning
• GenAI: Prompt Engineering, LLM, RAG, Vector Database, Search Engines, LLMOps
• Cloud: Azure (Azure ML, Azure OpenAI, Azure Prompt Flow, Databricks, ...)
• Programming: Python, Spark
• Frameworks & Tools: Langchain, Chroma, LlamaIndex, Hugging Face
• Devops/MLOps: Git, Docker, Kubernetes

Agile methodologies, fluent in French and English, strong client qualification and communication skills. Open to change, proactive, and a team leader.

Additional skills (desired): AI and LLM training sessions, Agile development practices, generative AI industrialization projects, Azure certifications.

Compensation: Full-time position, competitive salary, Ile-de-France base with flexible telework agreement, comprehensive benefits (health insurance, etc.), internet compensation. Challenges throughout the year, with potential rewards like travel, technology equipment, and event access. Personalized career development plan with training and certifications. Opportunities for geographical and inter-community mobility based on technology or business interests.

Recruitment Process: 2-3 interviews (Talent Acquisition, Tech & Business, Leadership).

Preferred Interview Type: At least one in-person interview. References checked and, depending on profile, technical, English, or personality tests may be requested.

Equal Opportunity Employer: Devoteam promotes equality of opportunity.

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