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NT

Gen AI Engineer

NTT DATA
United Statesfull_timeVerifiedPosted 30 Sept 2024

About the role

Req ID: 290932 

NTT DATA Services strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Gen AI Engineer to join our team in Plano, Texas (US-TX), United States (US).

As a GenAI Engineer with NTT DATA, you will be at the forefront of innovation, leveraging your skills to design and implement cutting-edge AI solutions. With a focus on creativity, collaboration, and technical excellence, this role offers a unique opportunity to work on transformative projects that drive business intelligence and decision-making across diverse industries. 

 

Key Responsibilities: 

  • Exercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. 

  • Apply statistical skills and advanced statistical techniques and concepts. 

  • Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. 

  • Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. 

  • Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. 

  • Experience working with RAG technologies and LLM frameworks (Langchain and LlamaIndex), LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS, Milvus, etc.). 

  • Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc. 

  • Display proficiency in programming languages such as Python and understanding of various Python packages. Experience with TensorFlow, PyTorch, or Keras. 

  • Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients. 

  • Assist in the design and implementation of GenAI use cases, projects, and POCs across multiple industries. 

  • Contribute to the development of frameworks, capabilities, and features for NTT DATA’s global GenAI platform and TechHub. 

  • Work on RAG models to enhance AI solutions by incorporating relevant information retrieval mechanisms. 

  • Create and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights. 

  • Collaborate with data science teams to build, tune, and iterate on machine learning models and prompts. 

  • Work closely with customers to understand their requirements and deliver customized AI solutions. 

  • Interact at appropriate levels to ensure client satisfaction and project success. 

  • Communicate complex technical concepts clearly to non-technical audiences. 

  • Conduct training sessions to enhance overall data science skills within the organization. 

 

 

Basic Qualifications: 

 

  • 1+ years of experience architecting high-impact GenAI solutions for diverse clients. 

  • 5+ year(s) of experience participating in projects that focused on one or more of the following areas: 

  • Predictive Analytics 

  • Data Design 

  • Generative AI 

  • AI/ML 

  • ML Ops 

  • 3+ years of experience using Python. 

  • Ability to travel at least 25%. 

  • Bachelor’s Degree required. 

 

Preferred Skills: 

  • Experience with Nvidia NeMo Inference Manager (NIM) for deploying and managing AI models at scale.  

  • Demonstrates sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution. 

  • Exhibits strong teamwork, consistently performing as a dependable team member with an excellent work ethic. 

  • Maintains a flexible "can-do" attitude and a commitment to success.   

  • Professional verbal and written communication. 

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Company

NTT DATA

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