Description

Job description

• As an AI / ML Senior Architect, having enterprise AI / ML solution architecture experience is a huge plus.
• Very good knowledge of machine learning, deep learning, and generative AI concepts, along with handson exposure to cloudbased AI platforms, will be an integral part of this role.
  You demonstrate deep knowledge of machine learning, deep learning, and generative AI architectures.
• Handson experience with enterprise LLM platforms, including Google Vertex AI and Azure AI Services.
• Strong data modelling and data warehousing knowledge using Snowflake will be an advantage.
• You are a technology aficionado, therefore you have a good understanding of containerization and orchestration technologies (Docker, Kubernetes), cloudnative system design, APIbased AI services, and LLM platform integration (prompt engineering, RAG patterns, embeddings, and inference optimization).
• You are able to work independently, prioritize and organize your tasks under time and workload pressure.
• Working in a multinational environment, you can expect cross-region collaboration with teams around the globe, thus being advanced in spoken and written English will be certainly useful

Key Skills

Education

Any Graduate