Data Scientist – AI/ML

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November 18

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Ardanis

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Software • IT Services • Consulting

Ardanis is a digital solutions company that specializes in delivering innovative software products to organizations in the UK and Ireland. Since 2016, Ardanis has been involved in the development and recovery of IT projects, providing services such as IT consulting, development team resourcing, and product development using next-generation technologies including Generative AI. The company is skilled in a variety of technologies and platforms, and it emphasizes digital transformation and software audits. Their expertise spans several sectors, including fintech, eCommerce, public sector, and telecommunications.

11 - 50 employees

Founded 2016

📋 Description

• - 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.