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.
