Note: The job is a remote job and is open to candidates in USA. Georgia IT, Inc. is hiring a Senior Machine Learning Engineer. The role focuses on designing, deploying, scaling, and governing enterprise AI and agentic AI solutions on Google Cloud, including machine learning pipelines, retrieval-augmented generation, AI agents, model optimization, observability, and lifecycle governance.
Responsibilities
- Design, build, and scale enterprise-grade AI and Agentic AI solutions on GCP
- Develop and deploy ML models, training, inference, and evaluation pipelines
- Evaluate AI models, platforms, and frameworks for performance, cost, security, and scalability
- Design and build production-grade AI agents
- Architect and optimize RAG (Retrieval-Augmented Generation) solutions
- Manage prompt versioning, agent registries, tool registries, and observability
- Implement Agent FinOps practices, including cost optimization and usage analytics
- Build end-to-end AI/Agent lifecycle governance from experimentation to production
- Operationalize SLM deployments, model tuning, quantization, and GPU optimization
- Define standards for releases, monitoring, reliability, compliance, and continuous evaluation
- Collaborate with platform, security, and infrastructure teams
Skills
- * Python
- * Machine Learning Frameworks
- * Vertex AI
- * BigQuery
- * Terraform
- * Docker
- * Kubernetes (GKE)
- * Vertex AI Pipelines
- * Kubeflow
- * Vector Databases and Embeddings
- * Prompt Engineering
- * Grafana
- * GMP
- * GCP Monitoring & Alerts
- * Git Actions
- * Deployment Methodologies
- * Strong communication skills
- * Cross-functional collaboration
- * Self-driven and autonomous
- * Research-oriented mindset
- * Architecture and best-practice leadership
- * Agent Development Frameworks (Preferably ADK)
Benefits
- Remote work arrangement
Company Overview
Company H1B Sponsorship