Generative AI Specialist

Challenging projects, which increasingly seek technological and human solutions in the experience and contact with people. Our open-minded culture makes the environment horizontal so that decisions are made based on facts and data, always putting the interests of customers first. A company of people who work with autonomy and creativity. With an entrepreneurial spirit, each of us stars in our own story. Despite everyone having the autonomy to take the reins of their own lives, our routine is intense because we dream big and love what we do! Collaboration Trust: transparency and coherence; Giving attitude: asking for help and offering it; Encourage shared projects and initiatives: discourage the creation of silos. Commitment Create growth opportunities for our people; Think big: set ambitious and sustainable goals; Be responsible and make things happen; Love what you do; Be authentic. Curiosity Challenge the current state and offer new perspectives; Invest time in your own self-development; Reward the mindset of continuous learning; Embrace diversity and uniqueness. What we expect from you: + Develop and maintain robust platforms that support AI-based products; + Design and implement scalable solutions, ensuring quality, performance and resilience of systems; + Collaborate with product, engineering and data teams to translate demands into effective solutions. Requirements: + Experience in software engineering; + Experience with Generative AI solutions (LLMs, diffusion models, etc.); + Proficiency in Python (required) and/or NodeJS; + Practical knowledge of microservices and messaging architecture; + Familiarity with LLMs and SLMs, including frameworks such as Hugging Face Transformers, LangChain or Llama Index; + Experience with non-relational databases, such as MongoDB and Redis. Desirable: + Experience in building multi-agent systems; + Knowledge of prompt security frameworks (OpenAI Moderations, Guardrails); + Proficiency in Vector DBs & Search: Elasticsearch/OpenSearch, Pinecone, Weaviate or similar; + Experience with model and prompt evaluation at scale, using benchmarks such as MMLU, TruthfulQA, HELM, as well as adversarial testing and bias/equity analysis; + Application of automatic metrics such as BLEU, ROUGE-L, BERTScore and perplexity; + Relevant certifications: Azure AI-102, AI-900, AWS Machine Learning Specialty, Google Professional ML Engineer or similar. ***All our vacancies are available for People with Disabilities.** At NTT DATA, we work to promote an inclusive culture, we believe in the strength of diversity to generate innovation and achieve incredible results, therefore, we do not distinguish between people with disabilities, gender, sexual orientation, race/ethnicity, age, origin, family and aesthetics. We work all our vacancies based on this premise. Be part of our team!