Imagine a role where you can drive innovation and strategy as a Senior Data Scientist. With expertise in Generative AI, you will lead the development and deployment of machine learning models that push the boundaries of what is possible.
About the Role:
This is a leadership position that requires strong theoretical understanding and practical experience with machine learning algorithms. You will be responsible for translating business and product requirements into scalable machine learning solutions, identifying high-impact opportunities for applying Generative AI, and designing and implementing machine learning models.
Key Responsibilities:
* Spearhead the development and deployment of machine learning models
* Collaborate with cross-functional teams to define and implement machine learning strategies
* Leverage data analysis, feature engineering, and model evaluation to inform business decisions
* Develop and maintain complex machine learning models using traditional ML and deep learning approaches
* Analyze data to identify trends and insights that drive business growth
Required Qualifications:
* Proven track record of deploying machine learning models into production environments
* Strong proficiency in Python and object-oriented programming
* Hands-on experience with Generative AI frameworks and tools
* Solid MLOps experience, including model monitoring and CI/CD pipelines
Preferred Qualifications:
* Experience with GenAI application development and big data tools like Spark or PySpark
* Familiarity with cloud platforms, ideally Azure and Databricks
* Industry experience in domains such as fraud detection, recommendation systems, CRM, or sports tech