Description

You will design and build AI/ML and GenAI solution architectures on Google Cloud Platform.

Responsibilities

• Design AI/ML and GenAI architectures using Vertex AI, BigQuery, Cloud Run, Cloud Functions, and GCS.
• Configure Vertex AI components including Workbench, Pipelines, Model Registry, Feature Store, Vector Search, and Model Deployment.
• Develop end-to-end ML workflows covering data ingestion, preprocessing, model development, deployment, and monitoring.
• Build prompt-based, RAG, and LLM-driven applications using Gemini and Vertex AI Generative AI features.
• Prepare architecture diagrams, solution documents, and design specifications for stakeholder review.

Required Skills

• 5+ years of experience in a relevant technical role.
• Strong understanding of GCP architecture (IAM, VPC, networking, compute, logging, monitoring).
• Hands-on experience with Vertex AI for model training, deployment, tuning, and pipelines.
• Experience implementing GenAI/LLM solutions, including Gemini, RAG, embeddings, and vector stores.
• Proficiency with Python and ML frameworks (PyTorch).
• Practical experience with Terraform, CI/CD, and automation on GCP.
• Knowledge of BigQuery, Dataflow/Beam basics, and data modelling concepts.

Key Skills

Education

Any Gradute