About the Role
Position: AI/ML Engineer
Location: Bangalore - Hybrid
No of Positions: 1
Year of Experience: 3+ Years
Strong experience in GCP and Vertex AI
Job Summary
We are looking for an experienced AI/ML Engineer with strong hands-on expertise in Google Cloud Platform (GCP) and Vertex AI to design, build, deploy, and scale machine learning models in production. The ideal candidate should have deep knowledge of end-to-end ML lifecycle, MLOps practices, and cloud-native AI solutions.
Key Responsibilities
Design, develop, train, and deploy machine learning and deep learning models on GCP
Build and manage end-to-end ML pipelines using Vertex AI (training, tuning, deployment, monitoring)
Implement MLOps workflows including model versioning, CI/CD for ML, and automated retraining
Work with large-scale structured and unstructured datasets
Optimize model performance, scalability, and cost on cloud infrastructure
Collaborate with data engineers, product teams, and st...
Location: Bangalore - Hybrid
No of Positions: 1
Year of Experience: 3+ Years
Strong experience in GCP and Vertex AI
Job Summary
We are looking for an experienced AI/ML Engineer with strong hands-on expertise in Google Cloud Platform (GCP) and Vertex AI to design, build, deploy, and scale machine learning models in production. The ideal candidate should have deep knowledge of end-to-end ML lifecycle, MLOps practices, and cloud-native AI solutions.
Key Responsibilities
Design, develop, train, and deploy machine learning and deep learning models on GCP
Build and manage end-to-end ML pipelines using Vertex AI (training, tuning, deployment, monitoring)
Implement MLOps workflows including model versioning, CI/CD for ML, and automated retraining
Work with large-scale structured and unstructured datasets
Optimize model performance, scalability, and cost on cloud infrastructure
Collaborate with data engineers, product teams, and st...
Ready to Apply?
Submit your application today and take the next step in your career journey with Team Computers.
Apply Now