Job description
- Design, architect and deploy enterprise grade distributed, cloud-native and AI systems in Public Clouds like AWS, Azure and GCP.
- Research, evaluate and configure AI / ML marketplace products / platforms to effectively address AI / ML business use cases.
- Get to work on containers, container orchestration technologies (Kubernetes, Docker), OpenSearch, Vector Stores, building data pipelines, messaging, scalable streaming services, RAG-based architectures, Generative AI Models, API Management Services like Google APIGEE, Azure APIM.
- Facilitate collaboration and communication across business lines, technology
- Work with Engineering team members to implement and deploy generative AI systems into production.
- Develop and implement best practices for building, deploying, and managing generative AI systems.
- Stay up to date on the latest research and developments in generative AI and apply new knowledge to our work.
- Collaborate with other engineers, Architects, and product managers to develop.
About You :
knowledge is foundational to this role.With that said, we need to add a bit ofCloud echo system around AI / ML.Include proficiency real-timeexposure / expertise to / with LLMs, AWSBedrock, Google Gemini, Azure APIM.Skills Required
edrock, Google Gemini, Azure APIM