1 hour ago
Pune, IndiaStaff+
Responsibilities
- Design, build, and maintain scalable MLOps frameworks on Google Cloud Platform.
- Automate the deployment, testing, monitoring, versioning, and lifecycle management of machine learning models.
- Deploy Python-based models for batch and real-time inference using Vertex AI Endpoints and containerized architectures.
- Build CI/CD pipelines and reusable deployment templates for machine learning applications and services.
- Implement Infrastructure-as-Code practices and manage development, testing, and production environments.
- Design and support cloud-native ML infrastructure using GCP services including Vertex AI, Cloud Storage, BigQuery, Cloud Build, Cloud Run, Google Kubernetes Engine, and Pub/Sub.
- Implement monitoring, alerting, logging, observability dashboards, model governance, and operational compliance processes.
- Troubleshoot production issues and optimize ML infrastructure for performance, reliability, security, scalability, and cost efficiency.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related discipline.
- 5–8 years of experience in Cloud Engineering, MLOps, or ML Platform Engineering.
- Strong hands-on experience with Google Cloud Platform and Vertex AI.
- Proven experience deploying and operationalizing Python-based machine learning models in production.
- Experience building CI/CD pipelines for machine learning applications and implementing Infrastructure-as-Code with Terraform or similar tools.
- Experience monitoring and supporting production machine learning workloads.
- Strong troubleshooting and problem-solving skills.
- Preferred: Google Cloud Professional Machine Learning Engineer Certification.
- Preferred: familiarity with MLflow, Kubeflow, or similar MLOps frameworks.
Benefits
- Permanent, full-time employment.
- Location: Pune.
Tech Stack
Categories
About Dentsu
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next.