Description

Lead the design, architecture, and implementation of AI systems and data pipelines on Google Cloud Platform.

This role is on-site.

Responsibilities

• Design and implement data pipelines using BigQuery, Dataflow, and Cloud Storage for efficient ingestion and transformation.
• Develop Retrieval-Augmented Generation (RAG) techniques to combine knowledge retrieval with generative AI models.
• Implement prompt engineering strategies to maximize LLM performance, accuracy, and relevance.
• Evaluate and select appropriate models such as BERT, GPT-3, or PaLM based on project requirements.
• Mentor junior engineers and contribute to best practices for secure, scalable AI systems on GCP.

Required Skills

• 10+ years of professional experience.
• Expertise in Google Cloud Platform services including BigQuery, Dataflow, Cloud Storage, and Vertex AI.
• Proven experience developing RAG architectures and generative AI solutions.
• Deep understanding of NLP concepts and natural language processing applications.
• Experience with cloud-native architectures and DevOps principles.
• Ability to translate business requirements into scalable AI technical designs.
• Any Graduate degree.

Preferred Skills

• Relevant certifications in Google Cloud Platform or Generative AI technologies.
• Experience with application development.

Key Skills

Education

Any Graduate