Role Summary
Design, develop and deploy AI-powered applications using Google Cloud Platform. Build intelligent solutions supporting content discovery, audience engagement, campaign analytics, content intelligence, personalization and operational automation within digital media environments.
Key Outcomes (First 6 Months)
Deliver production-grade AI applications on GCP.
Develop scalable GenAI and machine learning solutions.
Implement engineering standards, monitoring and governance.
Support business use cases with measurable ROI and adoption.
Responsibilities
Develop AI and GenAI applications using Python and GCP services.
Build APIs and AI services using FastAPI and cloud-native architectures.
Integrate Gemini models, Vertex AI and enterprise data sources.
Implement RAG-based knowledge solutions using Vector Search and BigQuery.
Develop recommendation, classification, summarization and search solutions.
Collaborate with Data Engineers, Architects, Product Teams and DevOps Engineers.
Implement testing, monitoring, observability and deployment pipelines.
Optimize AI solutions for performance,



scalability and cost efficiency.
Core GCP AI Skills
Vertex AI
Gemini Models
Vertex AI Search
Vector Search
BigQuery
Cloud Storage
Cloud Run
Cloud Functions
Pub/Sub
Dataflow
AI & Machine Learning Skills
Prompt Engineering
Retrieval Augmented Generation (RAG)
Embeddings
Model Evaluation
Recommendation Systems
NLP Applications
Document Intelligence
Conversational AI
Digital Media Experience Preferred
Content recommendation engines
Audience segmentation and analytics
Advertising performance analytics
Content metadata enrichment
Subscriber and retention analytics
Personalization and customer engagement solutions
Software Engineering
Python
FastAPI
REST APIs
Docker
Git
CI/CD
Unit Testing
Integration Testing
Observability & Security
Cloud Monitoring
Cloud Logging
IAM
Secret Manager
Cloud KMS
Audit Logging
Responsible AI controls
Qualifications
Bachelor or Master degree in Computer Scienc

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