Job DescriptionRole Details
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- Experience: 3-5 yearsn
- Location: Bangalore, Indian
- Platform: Google Cloud Platform (GCP)n
- Domain: AI/ML, Digital Media, AdTech, Audience Analyticsn
- 100% Hands-on MLOps Engineering Rolen

nRole Summary
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- Build and operate enterprise MLOps and LLMOps platforms on Google Cloud Platform. Support AI products across audience intelligence, content recommendation, advertising optimization, content intelligence and personalization use cases within digital media environments.n

nKey Outcomes (First 6-12 Months)
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- Establish production-grade MLOps pipelines on Vertex AI.n
- Deploy scalable ML and GenAI models with robust observability.n
- Improve model deployment frequency and reliability.n
- Implement monitoring, governance and automated retraining processes.n

nResponsibilities
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- Design and implement CI/CD/CT pipelines using Vertex AI Pipelines and Kubeflow.n
- Manage model lifecycle from experimentation to production deployment.n
- Build automated model training, evaluation,



deployment and monitoring workflows.n
- Implement model observability, drift detection and performance monitoring.n
- Support GenAI, Agentic AI and recommendation engine deployments.n
- Integrate real-time and batch data pipelines using Pub/Sub, BigQuery and Dataflow.n
- Collaborate with Data Scientists, Data Engineers and Platform Engineers.n
- Optimize performance, scalability and infrastructure costs.n

nGCP AI & MLOps Stack
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- Vertex AIn
- Vertex AI Pipelinesn
- Model Registryn
- Feature Storen
- BigQuery MLn
- Dataflown
- Pub/Subn
- Cloud Storagen
- GKEn
- Artifact Registryn

nLLMOps & GenAI
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- Gemini Modelsn
- Prompt Managementn
- Vector Searchn
- RAG Architecturesn
- Agentic AI Workflowsn
- Evaluation Frameworksn
- Guardrails and Governancen

nDigital Media Experience Preferred
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- Content Recommendation Enginesn
- Audience Intelligence Platformsn
- Advertising Analy

📌 Machine Learning Specialist (Bengaluru)
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