- 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.