AI Engineer

NTT America • Atlanta, GA

72d • Hybrid

About The Position

The position involves ideating and developing AI/ML applications across various domains including prediction, recommendation, text analytics, computer vision, bots, and content intelligence. The role requires applying advanced statistical techniques and concepts, demonstrating deep knowledge of machine learning frameworks, and leveraging Python open-source software stacks. The candidate will work on developing and implementing Generative AI solutions, collaborating with cross-functional teams, and supporting the execution of AI projects for a diverse range of clients. Responsibilities also include creating and maintaining data infrastructure, collaborating with data science teams, and communicating complex technical concepts to non-technical audiences.

Requirements

• 1+ years of experience architecting high-impact GenAI solutions for diverse clients.
• 5+ years of experience participating in projects focused on AI/ML applications.
• Ability to travel at least 25%.

Responsibilities

• Ideate and develop 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.
• 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).
• Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard.
• Display proficiency in programming languages such as Python and understanding of various Python packages.
• Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects.
• Assist in the design and implementation of GenAI use cases, projects, and POCs across multiple industries.
• 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.

What This Job Offers

• Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
• Number of Employees: 5,001-10,000 employees