Data Scientist

• Design and develop ML, NLP, and GenAI models to solve complex business problems.

• Build, train, and optimize AI models using Python and relevant ML frameworks.

• Implement Azure AI/ML services for scalable deployment of models.

• Develop and integrate APIs for real-time model inference and decision-making.

• Work with large-scale data to extract insights and drive strategic initiatives.

• Collaborate with cross-functional teams, including Data Engineers, Software Engineers, and Product Teams, to integrate AI/ML solutions into applications.

• Implement CI/CD pipelines to automate model training, deployment, and monitoring.

• Ensure adherence to software engineering best practices and Agile methodologies in AI/ML projects.

• Stay updated on cutting-edge AI/ML advancements and continuously enhance models and algorithms.

• Conduct research on emerging AI/ML trends and contribute to the development of innovative solutions

• Provide technical mentorship and guidance to junior data scientists.

• Optimize model performance and scalability in a production environment