About the role
Skill- AI Data Architect
Exp- 8 to 15 years
Location- Hyderabad
JD
We are seeking an inventive Data Architect for AI with 8–15 years of experience to lead the strategic design and implementation of enterprise-scale AI solutions. This role requires deep expertise in designs, develops, and deploys scalable and secure data architectures on cloud platforms to support AI & ML initiatives. They bridge the gap between business needs and technical implementation by creating the necessary infrastructure for data processing, model training, and inference. This role requires expertise in cloud services, distributed computing, that handle large datasets and complex workloads for AI/ML frameworks, and MLOps to build robust systems
Key Responsibilities:
·Architectural and Design: Create and document scalable, secure, and cost-effective data architecture in the cloud (AWS/Azure/GCP) to support AI/ML data workloads.
·Solution development: Build, optimize, and deploy end-to-end data solutions, such as recommendation data processing engines and data analytic engines.
·Data Engineering: Proficiency in Data pipelines, ETL processes, Big Data Analytics and data management (SQL, NoSQL, data cleaning).
·Technical implementation: Select and implement appropriate technologies, including data lakes, batch processing, real-time processing systems and MLOps tools.
·Collaboration: Work with stakeholders, data scientists, and other teams to translate business requirements into technical specifications and ensure successful technical delivery.
·System management: Ensure the reliability, performance, and security of Data & AI intensive systems.