Design develop and implement AI / ML and Generative AI solutions across various domains including prediction systems recommendation engines text analytics computer vision chatbots and content intelligence platforms.Build and deploy advanced ML models using frameworks such as TensorFlow PyTorch Keras Spacy and scikit-learn .Apply deep knowledge of statistics machine learning NLP and generative models including GANs and transformers .Work with RAG (Retrieval-Augmented Generation) techniques and tools including Langchain LlamaIndex and vector databases like FAISS and Milvus .Integrate and manage LLM APIs and registries (e.g. Hugging Face OpenAI Google Vertex AI AWS Bedrock).Build scalable APIs using Python frameworks such as Flask Django Django Rest Framework or FastAPI .Collaborate with cross-functional teams to design and implement end-to-end AI pipelines from data ingestion to model deployment and monitoring.Support the development of GenAI use cases prototypes and POCs tailored to specific industry requirements.Maintain and enhance data infrastructure for collecting cleaning and analyzing large-scale datasets.Communicate technical concepts clearly and effectively with both technical and non-technical stakeholders.Engage with clients to understand business needs and deliver customized AI / ML solutions that drive value.Demonstrate innovation in Private AI and Smart Agent Solutions ensuring data privacy and intelligent automation.Stay current with trends and advancements in AI GenAI LLMs and related fields.Contribute to the development of frameworks capabilities and features for NTT DATAs global GenAI platform and TechHub.
Key Skills
Administrative Skills,Facilities Management,Biotechnology,Creative Production,Design And Estimation,Architecture
Employment Type : Full Time
Experience : years
Vacancy : 1