PNTT DATA is the 6th largest IT services company globally, with over 100,000 professionals and a revenue exceeding 15 billion euros. We focus on exceeding client expectations, managing projects proactively, and fostering growth through quality and talent. Our ambitious goal is to secure a position among the top 3 IT service providers worldwide, and for 4 consecutive years, we’ve been recognized as one of the best places to work in Spain. /ppbr/ppWe are expanding our Area of Expertise in Artificial Intelligence (AoEIA) and seeking a bGenerative AI Engineer /b with a specialization in bLarge Language Models (LLMs) /b to work on exciting projects for top-tier clients across Europe. /ppbr/ppbWhat Are We Looking For? /b /ppbr/ppWe are seeking a bGenerative AI Engineer /b to drive the technical design, integration, and deployment of bLLM-based /b solutions. As part of our Data Intelligence CoE, you will work on building and optimizing LLMs, integrating them into scalable platforms, and creating AI-driven use cases that solve real-world business challenges. /ppbr/ppYour expertise will focus on: /ppbr/pulliDesigning and implementing bSLM/LLM models /b (such as GPT, Gemini, or Llama) for various applications, including natural language understanding, text generation, summarization, and more. /liliBuilding and integrating bLLM-based platforms /b that deliver AI services in cloud-native, hybrid, or on-prem environments, tailored to client needs. /liliDeveloping bCI/CD pipelines /b specifically for LLM deployment and monitoring, ensuring continuous improvement and scalability of AI systems. /liliCollaborating with data scientists and engineers to create flexible and robust bLLM use cases /b for diverse industries, including customer support automation, knowledge management, content generation, and more. /liliOvercoming challenges related to bscaling LLM models /b, optimizing performance for inference, and ensuring efficient resource utilization in production environments. /liliEstablishing best practices for managing bSLM/LLM fine-tuning /b and customization, ensuring high-quality model outputs that align with business objectives. /li /ulpbr/ppbWhat Will You Be Accountable For? /b /ppbr/ppAs a Generative AI Engineer focusing on LLMs, your key responsibilities will include: /ppbr/pullibProject Execution /b: Ensuring successful delivery of LLM-based solutions, developing the necesary pieces of code. /lilibPlatform Development /b: Automating LLM platform management using Infrastructure as Code (IaC) and deploying LLMs in large-scale environments. /lilibCI/CD and MLOps Integration /b: Developing pipelines for LLMs that streamline the lifecycle from training and fine-tuning to deployment and performance monitoring. /lilibLLM Customization /b: Building custom solutions to integrate LLMs with external systems, leveraging APIs, middleware, and bespoke development to meet client requirements. /lilibInnovation /b: Staying at the forefront of generative AI technologies, particularly LLM advancements, and bringing cutting-edge solutions to our clients. /li /ulpbr/ppbWhy Would We Want to Meet You? /b /ppbr/ppWe’d love to meet you if: /ppbr/pulliYou have b2+ years of experience /b working with AI projects, specifically involving blarge language models /b (GPT, BERT, etc.). /liliYou have hands-on experience with bcloud platforms /b (AWS, GCP, Azure). /liliYou are proficient in bCI/CD tools /b (Jenkins, GitLab, GitHub Actions) and have built pipelines that support AI/ML workflows, especially for LLMs. /liliYou have strong programming skills in languages like bPython /b, with a focus on using machine learning frameworks like bTransformers /b, bPyTorch /b, or bTensorFlow /b. /liliYou have experience deploying bLLM models /b in production, ensuring they meet the specific needs of client use cases. /liliYou have worked on AI-driven projects in a startup, large enterprise, or research environment and have experience operationalizing LLMs for real-world applications. /li /ulpbr/ppbWe Value Experience In: /b /ppbr/pulliDeveloping LLM use cases, such as conversational agents, document summarization, content generation, and more. /liliImplementing bMLOps /b pipelines specifically for the LLM lifecycle, including data preprocessing, inference, and monitoring. /liliOptimizing large models for befficient inference /b in production environments. /liliExperience with model monitoring, retrieval strategies, and feedback loops to continuously improve model performance. /li /ulpbr/ppbWhat Do We Offer? /b /ppbr/ppAt NTT DATA, we offer: /ppbr/pulliThe opportunity to work on high-priority bLLM projects /b for leading companies in Spain and Europe. /liliDirect visibility to senior leadership and involvement in transformative AI initiatives. /liliThe chance to apply the latest innovations in blarge language models /b and generative AI on platforms like AWS. /liliThe opportunity to attend and present at AI conferences. /liliA competitive salary aligned with your experience. /liliA personalized bcareer development path /b with continuous learning opportunities, including certifications and training in AI, cloud technologies, and leadership. /li /ulpbr/ppbInterested? /b /ppbr/ppIf you’re ready to shape the future of generative AI with us, apply today! /p