AIML Architect

You are seeking a highly skilled AI/ML Architect who has a strong foundation in Data Engineering and a proven ability to apply Design Thinking in solving complex business challenges. Your role will involve leading the architecture and design of AI/ML solutions across multiple business domains. You will collaborate with stakeholders to identify use cases and translate them into scalable, production-ready ML architectures. Leveraging design thinking methodologies, you will drive innovative and user-centric solution design. Your responsibilities will also include architecting data pipelines and feature engineering processes for structured and unstructured data and overseeing the full ML lifecycle from data preprocessing to model deployment and monitoring. It is essential to ensure best practices in MLOps, including CI/CD for ML, model governance, and retraining strategies. Collaboration with data scientists, engineers, and product teams to align architecture with business goals and mentoring and guiding engineering and data science teams on solution design, performance optimization, and system integration will be key aspects of this role. **Qualification Required:** - Bachelor's or Master's degree in Computer Science, Data Science, or a related field. **Key Responsibilities:** - Lead the architecture and design of AI/ML solutions across multiple business domains. - Collaborate with stakeholders to identify use cases and translate them into scalable, production-ready ML architectures. - Leverage design thinking methodologies to drive innovative and user-centric solution design. - Architect data pipelines and feature engineering processes for structured and unstructured data. - Oversee the full ML lifecycle including data preprocessing, model training, evaluation, deployment, and monitoring. - Ensure best practices in MLOps, including CI/CD for ML, model governance, and retraining strategies. - Collaborate with data scientists, engineers, and product teams to align architecture with business goals. - Mentor and guide engineering and data science teams on solution design, performance optimization, and system integration. **Additional Details:** Not provided in the job description.,