Data Scientist with 3 to 5 years of expertise in developing and deploying AI/ML and Generative AI solutions. The ideal candidate will have a deep understanding of machine learning, deep learning, generative models, statistical modelling, and data engineering. They will be responsible for end-to-end model development, optimizing data pipelines, and collaborating with cross-functional teams to drive business impact.

Principal Accountabilities :

- Design develop and deploy machine learning and deep learning models for various use cases including classification regression time series forecasting natural language processing and Generative AI

- Optimize and maintain data pipelines to ensure efficient data processing and model performance

- Collaborate with cross-functional teams to integrate AIML solutions into business processes and drive impactful outcomes

- Utilize advanced analytics and MLOps to streamline model deployment and monitoring

- Leverage expertise in Python R Pyspark and SQL to develop robust datadriven solutions

- Apply knowledge of AIML models LLMs chatbots and TensorFlow to enhance model capabilities

- Demonstrate strong business and commercial acumen to align AI initiatives with organizational goals

- Foster a global mindset and people excellence to lead and mentor team members effectively

Key Interactions :

- Top Management, Mid Management, Junior Management, Cross-Functional Collaboration ,Client Relations ,Financial Auditing ,Vendor Management