Description

· Design, delivery, and implementation of Google Cloud Platform (GCP) infrastructure and solutions. · Architect design and implement large‑scale migration pipelines from on‑prem systems to Azure Data Lake Storage (ADLS). · Architect experience in generating data pipelines in Azure ADF · GCP Expertise: Strong knowledge of GCP AI/ML services and infrastructure. · AI/ML Frameworks: Proficiency with TensorFlow or PyTorch. · Technical Skills: Experience with Python, data modeling, SQL, and APIs. · Infrastructure as Code: Experience with Terraform for automation. · Experience: Proven ability in delivering AI/ML solutions in a cloud environment · Experience with performing analytics on data for stakeholders. · Experience in ingesting data from different sources using in Azure ADF · Ensure reliable handling of high‑volume unstructured data with performance and cost efficiency. · Implement data quality checks, logging, and traceability to support audit and compliance needs. · Experience in transforming data using Azure Databricks & Delta lake Roles & Responsibilities · Architecture & Design: Design enterprise-grade AI platforms, including RAG (Retrieval- Augmented Generation) and agentic solutions. · GCP Implementation: Develop AI models using Vertex AI and Gemini, ensuring security and performance. · Pipeline Development: Build and manage data pipelines, model lifecycle, CI/CD, and MLOps/LLMOps with Cloud Build and Vertex AI Pipelines. · Cloud Infrastructure: Utilize GKE, Cloud Run, and BigQuery for robust application deployment. · Strategy & Governance: Implement AI safety features, monitor model performance, and manage costs

Key Skills

Education

Bachelor's degree