AI / ML Architect

Proficiency in Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG).
i.    Knowledge of the leading LLMs. Fine-tuning models using Python libraries like Hugging Face Transformers or OCI's SDK to adapt them for domain-specific tasks
ii.    NLP skills like sentiment analysis, entity extraction, and text classification
iii.    RAG expertise – Understanding of Vectorization, embeddings. Working with OpenSearch, leveraging Oracle Database 23ai's vector capabilities. Experience with Prompt Engineering, Content Moderation Guardrails, and Handling Context Retention in Multi-Turn Interactions
iv.    Advanced prompt engineering techniques, such as chain-of-thought prompting
v.    Content Moderation: PII detection, toxicity scoring, custom filters
vi.    Context Retention: expertise in managing session states, Redis Caching, multi – turn conversations.
vii.    Tools Orchestration, Function Calling, Custom API Endpoints, SQL Tools for Database Queries, and Agent Networks for Multi-Stage Workflows

•    Must have 13-15 years of relevant work experience.
•    Drive Weekly, Monthly, Quarterly, Yearly Status Report calls with stakeholders.
•    Excellent verbal, written and interpersonal communication skills with both technical and non-technical audiences.
•    Ability to think tactically as well as strategically while coordinating cross functional teams in a matrixed environment.
•    Developing standards and processes, encouraging (or enforcing where necessary) the use of those standards and processes.