MLOps / GenAI Engineer (GCP)
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Summary
MLOps/GenAI Engineer in Bangalore (5-10 yrs experience) building and deploying ML and generative AI solutions on GCP — Vertex AI Pipelines/Kubeflow for ML pipelines, GenAI apps with Gemini, Agent Builder, Vector Search and RAG, plus CI/CD, Terraform, Docker/Kubernetes/GKE and BigQuery-based data collaboration.
MLOps / GenAI Engineer (GCP)
Experience: 510 Years
Location: Bangalore
Job Summary
We are looking for an MLOps / GenAI Engineer with hands-on experience in GCP, Vertex AI, ML pipelines, and production Generative AI applications.
Mandatory Skills
- GCP, Vertex AI, MLOps, Vertex AI Pipelines, Kubeflow
- Generative AI, Gemini, Agent Builder, Vector Search, RAG
- Python, SQL, BigQuery
- Docker, Kubernetes, GKE
- CI/CD and Terraform
Roles & Responsibilities
- Build and deploy ML and GenAI solutions using Vertex AI.
- Develop ML pipelines using Vertex AI Pipelines and Kubeflow.
- Manage model training, deployment, versioning, monitoring, and lifecycle.
- Build GenAI applications using Gemini, Agent Builder, Vector Search, and RAG.
- Monitor model performance, drift, and explainability.
- Automate deployments using CI/CD, Terraform, Docker, Kubernetes, and GKE.
- Collaborate with data engineering teams using BigQuery, Dataflow, Dataproc, and Spark.
Preferred Skills
TensorFlow, PyTorch, Scikit-learn, XGBoost, Cloud Build, and GitHub Actions.