Key Responsibilities & Skillsets:
- Design, build, and maintain scalable MLOps and LLMOps pipelines for deploying, monitoring, and managing machine learning and generative AI solutions in GCP.
- Develop and operationalize end-to-end ML lifecycle workflows including data ingestion, feature engineering, model training, validation, deployment, and monitoring.
- Build and manage LLMOps workflows for Large Language Models, including prompt management, RAG pipelines, vector databases, model evaluation, guardrails, and observability.
- Deploy and manage ML and GenAI workloads using Vertex AI, GKE, Cloud Run, and other GCP-native services.
- Implement CI/CD and CT pipelines for ML models and LLM-based applications using tools such as GitHub Actions, Cloud Build, Jenkins, or Terraform.
- Collaborate with Data Scientists, ML Engineers, Data Engineers, and Product teams to productionize machine learning and GenAI use cases.
- Establish model monitoring frameworks for drift detection, latency tracking, usage analytics, output quality, and operational performance.




- Build reusable and scalable infrastructure for experimentation, model versioning, artifact tracking, and automated retraining.
- Manage model registry, feature store integration, metadata tracking, and pipeline orchestration using contemporary MLOps tooling.
- Implement secure and responsible AI practices including access control, governance, model auditability, and compliance with enterprise policies.
- Optimize inference workloads for performance, cost, scalability, and reliability across batch and real-time serving environments.
- Research and adopt best practices in MLOps, LLMOps, GenAI deployment, and GCP architecture to continuously improve platform capabilities.
- Support debugging, troubleshooting, and incident resolution across ML platforms, deployment pipelines, and production workloads.
- Document architecture, pipeline design, deployment processes, and operational standards for internal teams and stakeholders.

📌 AI/ML Engineer (Delhi)
🏢 Crescendo Global Leadership Hiring India
📍 Delhi