About the Role :
We are looking for an experienced Data Scientist to lead the design and development of AI / ML solutions leveraging Azure Machine Learning and Generative AI frameworks. The ideal candidate will have hands-on expertise in Python, PySpark, Azure ML, and OpenAI, with a proven track record of building, deploying, and optimizing data-driven models at scale.
Key Responsibilities :
- Lead the end-to-end development of AI / ML solutions from problem definition to model deployment and performance monitoring.
- Design and build statistical forecasting, optimization, and machine learning models to solve complex business problems.
- Develop and implement LLM-based and GenAI solutions leveraging OpenAI and Azure ecosystems.
- Utilize Azure Machine Learning, MLflow, and Azure Databricks for scalable experimentation and deployment.
- Perform data wrangling, cleaning, and analysis using Python, PySpark, and SQL.
- Collaborate with cross-functional teams to translate business challenges into analytical solutions.
- Ensure model explainability, reproducibility, and ethical AI practices throughout the model lifecycle.
- Present analytical findings and recommendations effectively to both technical and non-technical stakeholders.
Required Skills and Experience :
8 to 10 years of overall experience with at least 5 years of relevant experience as a Data Scientist.Strong proficiency in Python and PySpark.Experience with Azure Machine Learning, OpenAI, and SQL.Minimum 2 years of hands-on experience with Azure Cloud, Natural Language APIs, and MLflow.Proven experience with LLMs and GenAI frameworks.Strong background in statistical data analysis, forecasting, and optimization modeling.Proficiency in TensorFlow, PyTorch, and Scikit-learn.Excellent communication, collaboration, and problem-solving skills.Good to Have :
Experience working with Azure Databricks.Exposure to data engineering and pipeline automation in cloud environments.(ref : hirist.tech)