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Tier-1 employer, mid-level ML/GenAI role in metro with broad cloud and LLM requirements, highly competitive.
Specialized GenAI, LLM, and GCP Vertex expertise required, making cross-industry transferability limited.
Explicit 3+ years plus mandatory GCP, Vertex AI, LangChain/RAG and observability requirements create high shortlisting strictness.
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Lead development of Agentic AI applications combining modern LLMs and traditional ML models to automate complex reasoning.
Architect and deploy AI solutions on Cloud Platforms (GCP/AWS/Azure) ensuring safety, observability, and robustness.
Design and maintain pipelines for data ingestion, evaluation, monitoring, and compliance using advanced frameworks and tools.
3+ years professional experience in Data Science or Software Engineering focused on Generative AI/LLM and traditional Machine Learning.
Bachelor’s or Master’s degree in Computer Science, AI, Statistics, Mathematics, Engineering, or related quantitative field; PhD preferred.
2+ years hands-on with supervised and unsupervised learning plus statistical modeling.
Proven experience building Agentic AI workflows beyond simple chatbots, with deep expertise in GCP AI/Data stack (Vertex AI, BigQuery).
Strong expertise in Python and AI orchestration frameworks like LangGraph, LangChain, Google ADK for building autonomous agents.
Experience integrating diverse data sources via SQL, APIs, Vector databases, and building robust guardrails and observability systems.
Ability to translate complex AI technical concepts into actionable business solutions and communicate effectively with technical and non-technical stakeholders.