Data Science Manager - Artificial Intelligence / Machine Learning

Position : Data Science Manager

Experience : 5 - 8 yr

Location : Chennai

Working Mode : Hybrid

Skills : 5yr hand on experience in Data Science, AI, Gen AI

Responsibilities :

• Implement the complete analytical section of the product based on the defined functional scope, including necessary documentation and prototypes.
• Extract, collate, and cleanse data from various entities.
• Identify suitable databases (SQL / NoSQL) for data storage and various technology stacks and libraries for data analysis and processing.
• Implement industry-standard statistical models with Machine Learning and Deep Learning algorithms, incorporating predictive and auto-learning capabilities.
• Identify meaningful insights and foresights from data and metadata sources based on the models.
• Interpret and communicate findings to the product manager to derive more business strategies.
• Visualize various dimensions of data for both web and mobile platforms.
• Showcase output through demos, prototypes, and working systems in regular review meetings.
• Continuously refine models for accuracy.
• Analyze, review, and track trends and tools in Data Sciences, Machine Learning, Artificial Intelligence, and Augmented Intelligence, and appropriately apply these learnings to the product.
• Interface the analytical system with transaction systems for both information reporting and to process actionable items derived through analytics.
• Ensure Quality, Security, Performance, Scalability, Reliability, and Availability are key factors in the implementation of the analytics system.
• Deploy and train various Large Language Models (LLMs) for AI agents and domain-specific applications.
• Implement Retrieval Augmented Generation (RAG) pipelines along with Vector databases to enhance the intelligence of LLMs and agent performance.
• Stay up-to-date with advancements in AI, including emerging LLM architectures and agentic AI frameworks and technologies.

Qualifications :

stakeholders.

(ref : hirist.tech)