Job Specifications
Job Title: Data Scientist / AI Engineer
Location: Nice, France (Pref.) or Madrid, Spain
Experience: 10+ years in software engineering, 5+ years in data science, Machine Learning
Employment Type: contract
Role Overview:
We are seeking an experienced Data Scientist / 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
About the Company
Tagmatix is a diversified path-breaking Salesforce and workforce management company. Our passionate professionals across the globe strive to match the demands for talent, whilst providing immediate access to immense local and global expertise for driving business performance.
At Tagmatix, we take an innovation-led approach, helping our clients to "imagine and invent", enabling global enterprises to make their operations more efficient and effective, while unleashing new potential across their processes.
We are driven by a ...
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