Design and architect end-to-end AI/ML solutions, ensuring scalability, security, and efficiency. Guide data scientists and engineers in developing, training, and deploying machine learning models. Define best practices for MLOps, including model versioning, monitoring, and retraining strategies. Develop AI frameworks and reusable components to accelerate AI adoption across the organization. Collaborate with stakeholders to understand business requirements and align AI solutions accordingly. Optimize data pipelines and AI infrastructure to support high-performance model training and inference. Evaluate emerging AI technologies and recommend suitable tools, frameworks, and methodologies. Ensure compliance with AI ethics, governance, and data privacy regulations. Implement microservices architecture to build scalable and resilient software solutions. Use Cloud platforms like AWS, Azure to deploy and run software applications.