Data Scientist - AI / ML Solutions

Job Description :

Data Scientist with ~3 years of experience in building AI / ML solutions, with specific hands-on exposure to designing, developing, and deploying AI-chatbots (including agentic AI / conversational agents).

Python and SQL Skill is mandatory .

Key Responsibilities :

• Design and develop conversational AI / chatbot solutions : intent classification, entity extraction, dialogue management, user-agent handoff, etc.
• Build and train NLP / deep-learning models (e.g., transformer-based models, RNNs, LSTMs, BERT variants) for language understanding, conversation generation, and agentic behaviours.
• Work on agentic AI workflows : enabling more autonomous conversational agents (multi-step tasks, context preservation, decision-making within agent).
• Pre-process large datasets (text, logs, conversation transcripts), perform feature engineering, data cleaning and annotation for intent / entity / dialogue purposes.
• Deploy and monitor models : integrate into chatbot frameworks, track performance (accuracy, precision, recall, user satisfaction), iterate to improve.
• Analyse chatbot usage data and user feedback; derive insights to optimise models, improve UX, reduce fallback / human-handoff rates.
• Familiarity with MLOps / deployment : model serving, API integration, cloud environments (AWS / Azure / GCP) beneficial.
• Comfortable working with unstructured data (text logs, transcripts) and transforming it into usable form
• Experience with agentic AI frameworks (autonomous agents, multi- step task orchestration), knowledge of chat platforms (e.g., Microsoft Bot Framework, Dialogflow, Rasa), experience with customer- facing chatbots in production.

(ref : hirist.tech)