Data AI/ML Engineer

Role : Data AI/ML Engineer

Location: Nice area, France: (1 day/week onsite)

Type: Contract/Permanent

Role Overview:

We are seeking an experienced Data / AI Engineer to design and implement advanced machine learning solutions, optimize data workflows, and develop AI-driven applications. The ideal candidate will have strong expertise in Generative AI, LLMs, NLP, and

MLOps, along with a proven track record in delivering end-to-end data science projects.

Key Responsibilities:

• Develop and deploy machine learning models for predictive analytics, fraud detection,

and time series forecasting.

• Build chatbot solutions using LLMs (OpenAI, Mistral AI) integrated with RAG, and vector

databases.

• Design and build an Agentic AI platform with protocols like Agent to Agent (A2A) and

Model Context Protocol (MCP)

• Implement data pipelines using Databricks, Airflow, and Azure services

• Conduct A/B testing and hypothesis testing for product pricing and optimization.

• Automate reporting processes and improve operational efficiency through advanced

analytics.

• Mentor junior team members and contribute to knowledge sharing.

Required Skills:

• Programming: Python, PyTorch, TensorFlow, FastAPI, Node.js, Java is a plus

• ML & AI: Generative AI, LLMs, NLP, LangChain, LangGraph, knowing Semantic Kernel, Microsoft Agent Framework, Agent Development Kit (Google) is a plus

• Data Engineering: Spark, PySpark, DataBricks, Airflow

• Databases: Neo4j, Pinecone, BigQuery

• Cloud Platforms: Azure (AI Foundry)

• MLOps: MLFlow, Kubernetes, Docker

• Tools: Looker, Data Studio, Streamlit