Job Description:
Main focus / what would make candidates stand out?
Industry experience
Positive communication due to stakeholder engagement
Experience with LangChain, Llama-Index, OpenAI are the main libraries

Responsibilities:
Design, develop, and deploy production-ready machine learning models utilizing Python and relevant libraries (e.g., scikit-learn, PySpark, Pandas, LangChain, Llama-Index, OpenAI, MLflow, Azure sdk, etc.).
Collaborate with cross-functional teams to identify business problems and translate them into actionable data science projects.
Perform data exploration, cleaning, feature engineering, and model selection for optimal performance, leveraging the capabilities of Azure Databricks for large-scale data processing.
Implement a robust CI/CD pipeline for machine learning models using Azure Databricks and Azure DevOps to ensure automation, reproducibility, and efficient deployment in the Azure cloud.
Support production deployed ML models and AI applications
Continuously monitor, evaluate, and tune model performance, identify areas for improvement,



and iterate on models for optimal results.
Document work effectively, including model development process, technical decisions, and results.
Strictly adhere to Catalent’s Responsible AI Framework and practices
Stay up to date on the latest advancements in machine learning, generative AI, and related technologies.

Required Qualifications:
Minimum 3+ years of experience as a Data Scientist or similar role.
Strong proficiency in Python and machine learning libraries (e.g., scikit-learn, PySpark, Pandas, LangChain, Llama-Index, OpenAI, MLflow , Azure sdk, etc.).
Experience with building, deploying, and monitoring production-ready ML models.
Familiarity with CI/CD best practices for machine learning workflows.
Experience with Azure cloud platform (Azure DevOps, Azure Databricks, Azure Machine Learning, Azure AI, Microsoft Copilot Studio, etc.) is required.
Experience working with Azure Databricks for large-scale

📌 Data Scientist (India)
🏢 System Soft Technologies
📍 India