Generative AI Engineer for Energy Sector

hace 7 días

Madrid, España NTT DATA Europe & Latam A tiempo completo

NTT 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.

We are expanding our Area of Expertise in Artificial Intelligence (AoEIA) and seeking a Generative AI Engineer with a specialization in Large Language Models (LLMs) to work on exciting projects for top-tier clients across Europe.


What Are We Looking For?


We are seeking a Generative AI Engineer to drive the technical design, integration, and deployment of LLM-based 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.


Your expertise will focus on:


  • Designing and implementing SLM/LLM models (such as GPT, Gemini, or Llama) for various applications, including natural language understanding, text generation, summarization, and more.
  • Building and integrating LLM-based platforms that deliver AI services in cloud-native, hybrid, or on-prem environments, tailored to client needs.
  • Developing CI/CD pipelines specifically for LLM deployment and monitoring, ensuring continuous improvement and scalability of AI systems.
  • Collaborating with data scientists and engineers to create flexible and robust LLM use cases for diverse industries, including customer support automation, knowledge management, content generation, and more.
  • Overcoming challenges related to scaling LLM models, optimizing performance for inference, and ensuring efficient resource utilization in production environments.
  • Establishing best practices for managing SLM/LLM fine-tuning and customization, ensuring high-quality model outputs that align with business objectives.


What Will You Be Accountable For?


As a Generative AI Engineer focusing on LLMs, your key responsibilities will include:


  • Project Execution: Ensuring successful delivery of LLM-based solutions, developing the necesary pieces of code.
  • Platform Development: Automating LLM platform management using Infrastructure as Code (IaC) and deploying LLMs in large-scale environments.
  • CI/CD and MLOps Integration: Developing pipelines for LLMs that streamline the lifecycle from training and fine-tuning to deployment and performance monitoring.
  • LLM Customization: Building custom solutions to integrate LLMs with external systems, leveraging APIs, middleware, and bespoke development to meet client requirements.
  • Innovation: Staying at the forefront of generative AI technologies, particularly LLM advancements, and bringing cutting-edge solutions to our clients.


Why Would We Want to Meet You?


We’d love to meet you if:


  • You have 2+ years of experience working with AI projects, specifically involving large language models (GPT, BERT, etc.).
  • You have hands-on experience with cloud platforms (AWS, GCP, Azure).
  • You are proficient in CI/CD tools (Jenkins, GitLab, GitHub Actions) and have built pipelines that support AI/ML workflows, especially for LLMs.
  • You have strong programming skills in languages like Python, with a focus on using machine learning frameworks like Transformers, PyTorch, or TensorFlow.
  • You have experience deploying LLM models in production, ensuring they meet the specific needs of client use cases.
  • You have worked on AI-driven projects in a startup, large enterprise, or research environment and have experience operationalizing LLMs for real-world applications.


We Value Experience In:


  • Developing LLM use cases, such as conversational agents, document summarization, content generation, and more.
  • Implementing MLOps pipelines specifically for the LLM lifecycle, including data preprocessing, inference, and monitoring.
  • Optimizing large models for efficient inference in production environments.
  • Experience with model monitoring, retrieval strategies, and feedback loops to continuously improve model performance.
  • Experience in the functional processes of the energy sector. Ideally, the candidate will have knowledge in areas such as generation, transmission, distribution, energy commercialization, and applicable regulations.


What Do We Offer?


At NTT DATA, we offer:


  • The opportunity to work on high-priority LLM projects for leading companies in Spain and Europe.
  • Direct visibility to senior leadership and involvement in transformative AI initiatives.
  • The chance to apply the latest innovations in large language models and generative AI on platforms like AWS.
  • The opportunity to attend and present at AI conferences.
  • A competitive salary aligned with your experience.
  • A personalized career development path with continuous learning opportunities, including certifications and training in AI, cloud technologies, and leadership.


Interested?


If you’re ready to shape the future of generative AI with us, apply today

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