Data Scientist

OREDATA is a Digital Transformation & IT Consulting firm with 10+ years of proven expertise and hundreds of successfully implemented projects across the EMEA region. When you join the OREDATA team, you'll be working hand-in-hand with experts focused on tackling digital, operational, analytical & data science challenges with the greatest impact. We foster collaboration with proximity, an agile and autonomous approach and best practices and guiding principles.

We are looking for an Agentic AI Engineer to join our team within a leading company in the aviation industry. ✈️

Read more: https://medium.com/@oredata-engineering

Apply and be part of our exciting journey!

Responsibilities:

• Design, develop, test, and improve LLM-based and Retrieval-Augmented Generation (RAG) solutions.
• Take an active role in the development of internal chatbot and conversational AI products.
• Work with structured and unstructured data to prepare, retrieve, enrich, and optimize knowledge sources used by AI applications.
• Evaluate and improve LLM performance through prompt engineering, retrieval optimization, model selection, evaluation frameworks, and output quality analysis.
• Collaborate with product, engineering, data, and business teams to translate business needs into practical AI solutions.
• Contribute to the technical design of Generative AI solutions, considering scalability, maintainability, security, and operational feasibility.
• Support other data and AI initiatives where needed, beyond RAG-focused projects.
• Stay current with developments in Generative AI, LLMs, agentic systems, RAG architectures, and related AI technologies.

Requirements:

At least 5 years of professional experience in Data Science, Machine Learning, Artificial Intelligence, Data Engineering, Software Development, or related technical roles.

Strong hands-on experience with Large Language Models (LLMs) and Generative AI use cases.

Practical experience designing, building, or improving RAG-based applications.

Experience working with embeddings, vector search, document retrieval, chunking strategies, prompt engineering, and LLM evaluation approaches.

Ability to assess AI solutions from an architectural perspective while remaining actively involved in implementation and delivery.

Experience with chatbot, conversational AI, knowledge assistant, search, recommendation, or similar AI-enabled products is highly preferred.

A background in software engineering or data engineering is an advantage, but not a mandatory requirement.

Strong analytical thinking, problem-solving capability, and the ability to work independently in an evolving technical environment.

Curiosity and strong awareness of the current Generative AI ecosystem, including emerging concepts such as AI agents, tool use, MCP, and modern RAG approaches.

Get to know us

If you want to know more about us and what we do, then visit our website: www.oredata.com

Why Oredata?

• Open communication, flexibility and start-up spirit
• Learning & Development opportunities for both personal and professional growth
• Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc)
• Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.)
• Dynamic work ecosystem where you can take initiative and responsibility
• Opportunity to work on international projects
• Private Health Insurance
• Birthday Leave Policy

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