Chief AI Solutions Architect

1 week ago

Udaipur, Rajasthan, India beBeeArtificial Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

Develop and deploy AI systems using cutting-edge technologies, leveraging expertise in Google Cloud and Generative AI.

Job Overview
  • Design and implement end-to-end ML & Generative AI pipelines on Google Vertex AI (Pipelines, Model Registry, Endpoints).
  • Collaborate with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)-based systems to power applications like summarization, intelligent agents, and content generation.
  • Implement MLOps pipelines to automate model deployment, monitoring, and retraining in production environments.
  • Leverage GCP services such as BigQuery, Cloud Storage, and Cloud Functions to manage large-scale data and deployments.
  • Optimize models for scalability, cost, and performance in real-world use cases.
  • Work closely with cross-functional teams to translate business problems into production-ready AI solutions.
Requirements
  • Hands-on experience with Google Vertex AI is essential.
  • Proven work in Generative AI / LLMs (code gen, content creation, intelligent agents, or RAG) is necessary.
  • A solid background in MLOps (Kubeflow, MLflow, CI/CD, monitoring) is required.
  • Expertise in Python plus at least one other language (Java, Go, C/C++, R, SQL) is preferred.
  • Practical experience deploying tested ML modules with measurable performance outcomes is essential.
  • Proficiency with TensorFlow, PyTorch, Scikit-learn, Keras is necessary.

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