AI Data Engineer

2 weeks ago

Sibiu, Sibiu, Romania NTT DATA Romania SA Full time €80,000 - €120,000 per year

Who we are

We are seeking a skilled and versatile AI Data Engineer to join our cross-functional, agile AI delivery team. In collaboration with our internal AI and IT teams, you will play a key role in building and scaling a portfolio of Generative AI use cases across Sales, Customer Service, and Supply Chain. This role involves designing, implementing, and operationalizing AI-powered applications, while working closely with business stakeholders and internal developers to deliver impactful solutions. You will also contribute to the continuous improvement of infrastructure, deployment pipelines, and user-facing interfaces.
 

What you'll be doing

  • Collaborate with business stakeholders and internal developers to specify, design, and implement Generative AI-powered applications for use cases in Sales, Customer Service, and Supply Chain
  • Develop and maintain responsive, user-facing interfaces using React to deliver seamless frontend experience
  • Build and optimize cloud infrastructure using Azure, Terraform, and ideally Databricks to ensure scalable, secure, and efficient systems
  • Design and implement CI/CD pipelines, leveraging Docker, MLFlow, and data pipelines to support robust MLOps workflows
  • Write high-quality, maintainable code in Python, integrating GenAI components and ensuring compatibility with LLM-based applications
  • Deploy, monitor, and support GenAI/LLM-based applications using frameworks like Langchain and best practices in LLMOps
  • Utilize Git, Jira, and Confluence for version control, project management, and documentation to ensure smooth collaboration
  • Contribute to the continuous improvement of infrastructure, deployment pipelines, and user interfaces within an agile delivery framework
  • Proactively identify technical challenges and propose solutions, driving innovation and efficiency across the AI portfolio

What you'll bring along 

  • University Degree in Engineering, Computer Science, Business or a related field 
  • At least 3 years of experience in AI Data Engineering
  • Expertise in MLOps and Data Engineering, including building and maintaining CI/CD pipelines, Docker, MLFlow, and data pipelines
  • Hands-on experience with Azure, Terraform, and ideally Databricks for cloud and infrastructure management
  • Advanced programming skills in Python (mandatory), with experience integrating GenAI components
  • Strong experience in deploying and supporting GenAI/LLM-based applications, with proficiency in Langchain and LLMOps
  • Familiarity with Git, Jira, and Confluence for collaboration and project management

Preferred Qualifications:

  • Strong proficiency in React for frontend development
  • Experience with Databricks for advanced data engineering and analytics
  • Proven track record in delivering GenAI/LLM-based applications in enterprise settings
  • Familiarity with agile methodologies and DevOps practices

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