Description

You will design and implement scalable, secure, and high-performance AI solutions on Google Cloud Platform.

Responsibilities

• Define and implement cloud architecture for AI/ML workloads on Google Cloud Platform.
• Review solution designs, ensuring adherence to best practices for scalability, security, and performance.
• Architect and optimize enterprise AI applications, including LLM-based solutions in production.
• Design strategies for prompt engineering, RLHF, and RAG integration within GCP-based AI systems.
• Oversee fine-tuning and deployment of LLMs using frameworks integrated with Vertex AI and GCP services.

Required Skills

• 10+ years of experience in Google Cloud Platform architecture.
• Expertise with Vertex AI, BigQuery ML, Cloud Storage, and Kubernetes (GKE).
• Proven track record designing enterprise AI solutions and scaling LLMs in production.
• Strong knowledge of prompt engineering, RLHF, and RAG techniques.
• Familiarity with multi-modal AI models and generative AI technologies.
• Proficiency in AI frameworks including Hugging Face, OpenAI, TensorFlow, and PyTorch.
• Experience with A/B testing, personalization engines, and feedback-driven optimization.
• Experience with data preparation and generation within cloud services.

Key Skills

Education

Any Graduate