Machine Learning Specialist

Location: Bengaluru

Role Details

Experience:

3-5 years

Location:

Bangalore, India
Platform:
Google Cloud Platform (GCP)
Domain: AI/ML, Digital Media, AdTech, Audience Analytics
100% Hands-on MLOps Engineering Role
Role Summary
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.
Key Outcomes (First 6-12 Months)
Establish production-grade MLOps pipelines on Vertex AI.
Deploy scalable ML and GenAI models with strong observability.
Improve model deployment frequency and reliability.
Implement monitoring, governance and automated retraining processes.
Responsibilities
Design and implement CI/CD/CT pipelines using Vertex AI Pipelines and Kubeflow.
Manage model lifecycle from experimentation to production deployment.
Build automated model training, evaluation, deployment and monitoring workflows.
Implement model observability, drift detection and performance monitoring.
Support GenAI, Agentic AI and recommendation engine deployments.
Integrate real-time and batch data pipelines using Pub/Sub, Big Query and Dataflow.
Collaborate with Data Scientists, Data Engineers and Platform Engineers.
Optimize performance, scalability and infrastructure costs.
GCP AI & MLOps Stack
Vertex AI
Vertex AI Pipelines
Model Registry
Feature Store
Big Query ML
Dataflow
Pub/Sub
Cloud Storage
GKE
Artifact Registry
LLMOps & GenAI
Gemini Models
Prompt Management
Vector Search
RAG Architectures
Agentic AI Workflows
Evaluation Frameworks
Guardrails and Governance
Digital Media Experience Preferred
Content Recommendation Engines
Audience Intelligence Platforms
Advertising Analytics and Optimization
Customer Engagement Analytics
Subscriber Retention Analytics
Personalization Platforms
Observability & Monitoring
Cloud Monitoring
Cloud Logging
Prometheus
Grafana
Model Drift Detection
Performance Monitoring
Alerting and Incident Management
Security & Governance
IAM
Secret Manager
Cloud KMS
Model Governance
Responsible AI
Audit Logging
Compliance Controls
Qualifications
Bachelor degree in Engineering, Computer Science or equivalent
3-5 years experience in MLOps or ML Platform Engineering
Strong Python development skills

Experience with GCP and Vertex AI preferred