Remote GenAI Lead Engineer

NTT DATA, Inc.; Indianapolis (IN); Teletrabalho; USD 140 000 - 190 000; Tempo integral

Resumo da oferta

NTT DATA is seeking a GenAI Sr. Developer to join our team and drive next-generation AI/GenAI initiatives.

You will design and implement scalable AI/ML solutions, from data ingestion to model deployment and monitoring, across multiple domains. The role requires hands-on expertise with Python, ML/DL, and GenAI technologies, including LLMs and agentic frameworks, and collaboration with cross-functional teams to deliver client-focused outcomes.

Qualificações

• Masters in AI from a reputed College / University.
• 8+ years demonstrated using Python and relevant packages for ML and data science in multiple real projects.
• 2+ years strong fundamentals in building GenAI solutions, preferably using Agentic frameworks.
• 2+ years deep knowledge in: Predictive Analytics, ML/DL, Generative AI, Agentic systems, ML Ops / AI Infrastructure.
• 2+ years strong understanding of LLM technologies, embedding models, cloud-based AI services, and AI/ML operations.
• 2+ years hands-on experience with cloud-based AI platforms (Azure OpenAI, Vertex AI, AWS AI services).

Responsabilidades

• Develop and implement AI/ML and GenAI solutions across domains.
• Build and deploy advanced ML models using frameworks like TensorFlow, PyTorch, Keras, Scikit-learn.
• Apply statistics, ML, NLP, and generative models including GANs and transformers.
• Work with RAG (Retrieval-Augmented Generation) techniques.
• Collaborate with cross-functional teams to design end-to-end AI pipelines.

Conhecimentos

Python

ML & DL

GenAI

Agentic frameworks

LLM tech

ML Ops

Formação académica

Masters in AI

Ferramentas

Azure OpenAI

Vertex AI

AWS AI Services

Descrição da oferta de emprego

NTT DATA is seeking a GenAI Sr. Developer to join our team and drive next-generation AI/GenAI initiatives.

You will design and implement scalable AI/ML solutions, from data ingestion to model deployment and monitoring, across multiple domains. The role requires hands-on expertise with Python, ML/DL, and GenAI technologies, including LLMs and agentic frameworks, and collaboration with cross-functional teams to deliver client-focused outcomes.