Description

You will design and build AI/ML and GenAI solution architectures on GCP.

Responsibilities

• Design AI/ML and GenAI solution architectures on GCP 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 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.
• Build MLOps pipelines utilizing Cloud Build, Cloud Deploy, GitHub Actions, and Terraform.
• 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 Google Cloud Platform architecture (IAM, VPC, networking, compute, logging, monitoring).
• Hands-on experience with Vertex AI, covering 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.
• Familiarity with ML Engineer and Data Engineer workflows.

Key Skills

Education

Any Gradute