Description

You will build and maintain AI/ML infrastructure on Google Cloud Platform to support model development, deployment, and scaling.

This role is on-site.

Responsibilities

• Build AI/ML platforms on GCP, focusing on scalability, reliability, and performance.
• Manage GCP services including AI Platform, BigQuery, Cloud Storage, Compute Engine, and Kubernetes Engine.
• Develop automated workflows and pipelines for model training, validation, deployment, and monitoring.
• Optimize infrastructure for cost, performance, and security.
• Implement monitoring solutions to track system health and troubleshoot issues.

Required Skills

• 5+ years of professional experience.
• Strong proficiency in Python development.
• 3+ years of Linux experience.
• 2+ years of designing, developing, testing, and optimizing Python microservices using gRPC.
• Hands-on experience with GCP, AI Platform, and BigQuery.
• Experience with Docker and Kubernetes.
• Working knowledge of TensorFlow and PyTorch.
• Understanding of data storage, processing, and ETL workflows.
• Experience with CI/CD pipelines and containerization.

Preferred Skills

• Experience with Terraform and Helm.
• Implementation of inferencing, benchmarking, and fine-tuning for Generative AI models.
• Knowledge of LLMs, chunking strategies for vector databases, and embedding models.

Key Skills

Education

Any Gradute