Data Scientist - Machine Learning (1-2 yrs)

Job Summary :

We are looking for an energetic Data Scientist join our team. In this role, you'll work cross-functionally with business operations and to create and optimize workflow processes.

Responsibilities :

- Design, develop, and deploy production-ready machine learning models utilizing Python and relevant libraries (i.e., 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.

- Develop and implement GenAI applications using Azure Prompt Flow and Microsoft Copilot Studio to create intelligent solutions, for example :

1. Answer questions directly from documents using RAG-based architecture.

2. Translate natural language queries into SQL statements for data retrieval.

3. Extract and categorize entities from text data.

- 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.

Musts :

- Minimum 3+ years of experience as a Data Scientist or similar role.

- Strong proficiency in Python and machine learning libraries (i.e., 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 processing and model training is required.

- Excellent communication, collaboration, and problem-solving skills.

- Ability to work independently and as part of a cross-functional team.

System Soft Technologies is a proud equal employment opportunity employer :

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, sexual orientation, or any other characteristic protected by law. We are committed to the full inclusion of all qualified individuals.

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