SPECIALIST - DATA SCIENCE
Asian Paints · Mumbai Metropolitan Region
- Experience5–8 yrs
- SalaryNot disclosed
- Work modeonsite
- Posted2 Oct 2026
About Asian Paints
Asian Paints is hiring in Mumbai Metropolitan Region in manufacturing industrial. This role looks for around 5+ years of experience.
Skills
- Data Science
- Machine Learning
- Generative AI
- Azure AI services
- LLM
- agentic AI frameworks
- prompt engineering
- RAG
- embeddings
- vector search
- MCP servers
- MCP-based tools
- classification
- regression
- recommendation systems
- predictive modeling
- data preparation
- feature engineering
- model evaluation
The role
A data scientist at a manufacturing company develops machine learning solutions, Generative AI applications, and Azure AI services for business problems, building predictive models and LLM-based systems. The role also applies prompt engineering and vector search to deploy practical AI solutions.
Full job description
Location:
Mumbai, MH, IN
Areas of Work: Systems Job Id: 15479
External Job Description
Job Purpose
Lead the design, development and implementation of Data Science, Machine Learning and Generative AI solutions. The role will require hands-on development, practical knowledge of Azure AI services, and the ability to build LLM and agent-based applications using agentic frameworks. The role involves guiding team members and working with business stakeholders to drive solutions from requirement through deployment.
Business Responsibility Areas
Understand business problems and convert them into Data Science, Machine Learning or Generative AI solutions.Perform hands-on development of ML and AI solutions.Build and evaluate classification, regression, recommendation and other predictive models.Develop LLM-based applications using prompt engineering, RAG, embeddings and vector search.Design and implement agent-based applications using suitable agentic AI frameworks.Develop or integrate MCP servers and MCP-based tools.Design and deploy AI solutions using relevant Azure data and AI services.Guide the team in data preparation, feature engineering, model evaluation and solution development.Work with business, data, cloud, security and application teams to deliver solutions through development, UAT and production.Monitor deployed models and AI applications for accuracy, reliability, performance and cost.Maintain technical documentation and promote reusable components and development standards.