Strong experience with Generative AI and Agentic AI architectures Hands on knowledge of LLMs, embeddings, RAG pipelines, prompt engineering, and agent frameworks Proficiency in Python for AI/ML development ML & Data Engineering: Experience designing AI solutions on cloud platforms (AWS, Azure, or GCP) Strong understanding of cloud native, microservices, and API driven architectures Exposure to observability, monitoring, and logging for AI systems Security & Compliance: Design AI native platforms where GenAI and ML capabilities are embedded as core services, not bolt ons. Governance, Security & Responsible AI: All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role.
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