Azure AI Data Engineer

Overview

Atos Group is a global leader in digital transformation with c. 70,000 employees and annual revenue of c. € 10 billion, operating in 67 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high-performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos is a SE (Societas Europaea) and listed on Euronext Paris.

The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.

We are looking for Azure AI Data Engineer position, please find the JD below

Azure AI Data Engineer

Experience 15+ years

Location Bangalore (Whitefield) or Chennai (Siruseri) or Pune (Talawade) or Mumbai (Airoli (West).

Type of Hire Full-Time

JD Required

• Hands-on experience in Azure AI services, specifically Azure OpenAI, Azure Machine Learning, and Cognitive Search, as well as Vector Search, Azure Synapse, and Data Factory for end-to-end AI and data integration.
• Atleast 3 years in AI/ML development, with minimum 1 year (end-to-end customer implementation) focused on Generative AI, including experience with OpenAI's GPT-4/Chatgpt/Copilot/ Google's Gemini.
• Proficient in Python and Expertise in LLM model setup, fine-tuning, and integration with data pipelines and applications. Strong understanding of data integration with Azure Data Factory, Synapse/Fabric, and Spark Notebooks.
• Experience in building real-time, AI-powered dashboards, integrating model outputs into Power BI / Fabric dashboards.
• Knowledgeable in cloud-native architecture and DevOps principles in Azure, including cloud-native deployments using Helm, Docker, and Kubernetes.
• Understanding of ethical AI development, bias mitigation, and responsible AI practices aligned with Azure's Responsible AI toolkit.
• Experience in ITSM data models will be an added advantage.