Description

You will design, develop, and deploy large-scale Machine Learning and AI solutions exclusively on Google Cloud Platform (GCP).

This role is on-site.

Responsibilities

• Architect and optimize MLOps pipelines for model training, validation, deployment, and monitoring.
• Lead the development and deployment of scalable ML models using Vertex AI components including Pipelines, Training Jobs, Feature Store, Model Registry, and Monitoring.
• Integrate core GCP services such as BigQuery, Dataflow, Cloud Run, Pub/Sub, and Cloud Functions.
• Implement best practices in versioning, CI/CD, and governance for ML workflows.
• Lead troubleshooting, performance optimization, and provide architectural guidance while mentoring team members.

Required Skills

• 7+ years of professional experience in software engineering or a related field.
• 3+ years of hands-on experience with Vertex AI Pipelines, Training Jobs, Feature Store, and Model Monitoring.
• Expertise in Python with libraries such as TensorFlow or PyTorch.
• Strong understanding of MLOps principles and CI/CD practices.
• Proficiency with containerization technologies like Docker and Kubernetes.
• Experience with Infrastructure as Code using Terraform.
• Familiarity with integrating ML APIs and REST endpoints into applications.
• Experience with GCP services.

Preferred Skills

• Experience with PyTorch.
• Any Graduate.

Key Skills

Education

Any Graduate