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 Science, AI, Data Science or related discipline
- 2-5 years of software engineering or AI development experience
- Strong Python programming skills
- Experience with GCP AI services preferred