We are looking for an experienced Data Scientist to join our international AI/ML team. The ideal candidate will have a strong technical background and a passion for developing artificial intelligence solutions that deliver real impact for our clients and must have a strong focus on hands-on development of end-to-end AI solutions and RAG (Retrieval-Augmented Generation) architectures.

Responsibilities:

Design, develop, and deploy end-to-end AI/ML solutions, taking full ownership of projects.
Lead the implementation of RAG-oriented architectures, integrating language models with external data sources for accurate and up-to-date results.
Build production-level ML/AI systems following best software engineering and MLOps practices.
Implement automated deployment, monitoring, scaling, and optimization of AI models and infrastructure.
Perform advanced data analysis, including cleaning, variable transformation, and feature engineering.
Develop, train, optimize, tune, parallelize, test, and deploy ML/AI models in production environments.

Requirements

7+ years of experience in AI, Machine Learning, or Computer Science.
Extensive hands-on experience with RAG architectures and frameworks.
Experience with Azure AI (Azure OpenAI, AI Search) or equivalent cloud services, and frameworks such as LangChain, Semantic Kernel, or AutoGen.
Strong expertise in Microsoft Azure, including infrastructure design and deployment, Terraform for infrastructure as code, private endpoints configuration and management, Azure Storage, Azure Key Vault, Azure Functions, and integration services.
Fluent in English, with excellent communication skills.
Preferred experience in Java, Python or .NET also acceptable.
Strong software development and engineering practices are highly valued.
Strong experience in Microsoft Azure and Azure Cloud.

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