Responsibilities
Design and develop advanced machine learning deep learning and generative AI solutions to solve complex business problems
Lead endtoend data science projects from problem formulation and data exploration to model deployment and monitoring
Build predictive prescriptive and statistical models to improve operational efficiency and business outcomes
Develop scalable AIML pipelines using Python SQL Spark and cloudbased data platforms
Collaborate with business stakeholders to translate requirements into datadriven solutions and actionable insights
Implement feature engineering model optimization and experimentation frameworks to improve model performance
Leverage large language models LLMs RAG architectures and AI agents for enterprise automation and decision support
Create robust data processing workflows for structured semistructured and unstructured data sources
Apply advanced analytics techniques including forecasting classification clustering recommendation systems and NLP




Ensure model governance explainability fairness security and compliance throughout the AI lifecycle
Mentor junior data scientists and provide technical leadership across data science initiatives
Work closely with data engineering and MLOps teams to operationalize models in production settings
Monitor model accuracy drift and business impact implementing continuous improvement strategies
Communicate analytical findings through dashboards reports and executivelevel presentations
Stay current with emerging AI machine learning cloud and data science technologies to drive innovation and best practices

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Data Scientist Kolkata (India)
🏢 LTM
📍 India