Bachelor s degree in Information Technology, Computer Science, or Engineering.
AWS Solution Architect certification - professional
8+ years of strong technical hands-on experience of delivering infrastructure and platform services across geographic and business boundaries
Minimum 5+ years of technical hands-on experience in AWS Solution Architect / Design Expert role for large enterprises
Deep understanding of Architecture and Design of Platform Engineering products with focus mainly on GPU driven AI Infrastructure, ML Ops, Run:AI, Cognitive, (Gen)AI, etc.
Extensive experience in building infra solutions on AWS, particularly with services like AWS Bedrock, Amazon Q, SageMaker, App Studio, Machine Learning and ECS/EKS
Proficiency in AI and Machine Learning frameworks (TensorFlow, PyTorch, Keras) and familiarity with model deployment, fine tuning of models and operationalization (MLOps).
Solid hands-on experience in Generative AI techniques, including Natural Language Processing (NLP), Generative Adversarial Networks (GANs), and transformer models.
Good understanding of data engineering, including ETL processes, data warehousing, and working with both structured and unstructured data.
Knowledge of containerization and orchestration technologies, such as Docker and Kubernetes, with DevOps practices and tools, including CI/CD pipelines, infrastructure as code (IaC), and monitoring solutions.
Good understanding of High Availability and Disaster Recovery concepts for infrastructure
Ability to analyze and resolve complex infrastructure resource and application deployment issues
