Jobs and Careers
NT
AI Director
NTT DATAUnited Statesfull_timeVerifiedPosted 21 Aug 2024
About the role
Req ID: 294788
NTT DATA 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 AI Director to join our team in Plano, Texas (US-TX), United States (US).
Key Responsibilities:
Possess deep understanding of cloud systems, network architectures, identity management (authentication and RBAC), and various services available in cloud systems.
- Experience working on all aspects of enterprise scale implementation for AI/GenAI solutions including architecture, design, security, infrastructure, MLOps/GenAIOps
- 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, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases
- Rapidly develop prototypes and proof of concepts (PoCs) in areas such as LLMs, NLP, deep learning (DL), machine learning (ML), object detection, classification, and tracking.
- Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
- Have problem-solving abilities combined with good communication skills.
- Deploy knowledge of Azure DevOps, YAML, Shell scripting, Terraform, and pipelines.
- Understand how to fine-tune models, quantize models, and deploy models.
- Design integrations between various cloud-based services through APIs, keeping modular designs in mind.
- Apply knowledge of data engineering tools and technologies and understanding of concepts such as big data and data pipelines
- Scope, manage, and drive complex GenAI projects and programs to successful completion.
- Design and implement GenAI frameworks and patterns tailored to client needs.
- Architect and lead the implementation of GenAI use cases, projects, and POCs across multiple industries.
- Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks
- Utilize best practices and creativity to address challenges and deliver impactful solutions.
- Conduct market research, formulate perspectives, and communicate insights to clients and stakeholders.
- Establish strong client relationships, gaining insights into project requirements and challenges.
- Communicate complex technical concepts clearly to non-technical audiences.
- Handle data sets of varying complexity, processing massive data streams in distributed computing environments.
- Apply business acumen to analyze data, develop insightful reports, and solve problems.
- Perform ad hoc analyses based on evolving business needs.
- Participate in the analysis and resolution of issues related to information flow and data content.
- Collaborate with data stakeholders to address challenges and enhance data quality.
- Mentor junior data scientists and GenAI engineers, fostering professional growth within the team.
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