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 :

- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field.

- 5-7 years of experience in data science, with a proven track record of leading and implementing data science projects.

- Strong expertise in statistical modeling, machine learning, and deep learning algorithms.

- Proficiency in programming languages such as Python or R.

- Experience with SQL/NoSQL databases and big data technologies.

- Familiarity with data visualization tools.

- Experience with LLMs, RAG pipelines, and vector databases is highly desirable.

- Excellent communication and interpersonal skills, with the ability to interpret and present complex data insights to non-technical

stakeholders.

- Ability to work independently and collaboratively in a fast-paced environment.

- Experience in the banking domain is an added advantage.