Join NTT DATA as a GenAI Dev Lead and drive innovation in artificial intelligence. This role focuses on building cutting-edge AI/ML and Generative AI solutions. We seek individuals passionate about growth within an inclusive and forward-thinking organization.

As an AI/ML & Generative AI Engineer, you will leverage deep expertise in AI, machine learning, LLMs, NLP, and recommendation systems. You will develop and deploy high-impact AI applications using modern frameworks and cloud tools, collaborating across teams to deliver innovative solutions for diverse industries.

Develop and implement advanced AI/ML and Generative AI solutions across various applications, including predictive systems, recommendation engines, text analytics, computer vision, chatbots, and content intelligence platforms. Build and deploy ML models using frameworks like TensorFlow, PyTorch, and scikit-learn. Apply deep knowledge of statistics, NLP, and generative models, including GANs and transformers. Work with RAG techniques and tools such as Langchain and LlamaIndex, utilizing vector databases like FAISS and Milvus. Integrate and manage LLM APIs and registries, and build scalable APIs using Python frameworks.

Collaborate with cross-functional teams on end-to-end AI pipelines, from data ingestion to model deployment. Support GenAI use cases, prototypes, and POCs, while maintaining data infrastructure for large-scale datasets. Communicate complex technical concepts effectively to both technical and non-technical stakeholders. Engage with clients to understand business needs and deliver customized AI/ML solutions. Innovate in Private AI and Smart Agent Solutions, ensuring data privacy and intelligent automation. Stay current with AI and GenAI trends, contributing to NTT DATA’s global GenAI platform.

A minimum of 3 years of experience utilizing Python and relevant ML/data science packages is required. Additionally, possess at least 2 years of experience delivering impactful GenAI solutions, ideally within Private AI and Smart Agentic Systems.

Demonstrate 5+ years of experience in one or more of the following areas: Predictive Analytics, Machine Learning and Deep Learning, Generative AI, Data Design, or ML Ops/AI Infrastructure. A strong understanding of LLM technologies, embedding models, cloud-based AI services, and AI/ML operations is essential. Hands-on experience with cloud platforms such as Azure OpenAI, Google Vertex Gen AI, and AWS AI services is also necessary.

Ideal candidates will exhibit strong problem-solving skills, critical thinking, and effective communication abilities. You should be self-driven, collaborative, and adaptable to fast-paced environments.