Overview
Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 6 Month(s)
Skills
ML OPS
Job Details
ML OPS Engineer
- Integrated Ray AI into Vertex AI Pipelines, enabling Ray AI to scale training workloads; Ray AI coordinated resources, while Ray AI handled failures and Ray AI retried tasks autonomously.
- Expert in developing and deploying Chatbots, ML models using Vertex AI AutoML and custom training jobs, with a focus on model versioning, monitoring, and automated deployment strategies across large-scale production environments.
- Migrated hyperparameter tuning jobs to Ray AI, replacing custom loops; Ray AI managed trials, logged metrics, optimized parameters, and reduced tuning time using Ray AI
- Designed and deployed agentic AI systems using Vertex AI and Gemini, enabling autonomous, context-aware decision-making in document processing, semantic search, and conversational interfaces through dynamic tool use and multi-step reasoning.
- Built intelligent, goal-driven AI agents by integrating Generative AI models with services like Document AI, BigQuery, and external APIs empowering systems to plan, retrieve, and act independently within enterprise-scale ML workflows.
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