
Artificial Intelligence • B2B • Enterprise
thinkbridge is a global digital product development and technology advisory firm that helps growth-stage and mid-market companies modernize their tech stacks, build customer-facing platforms, and adopt AI and automation to accelerate value and scale. They offer end-to-end services including digital and technology strategy, GenAI consulting, application modernization, modern application development, DevOps/ML Ops, integrations, automation and 24x7 maintenance — with industry-focused work in financial services, energy/utilities, health and staffing. thinkbridge emphasizes fast, outcome-driven delivery using proprietary accelerators and a predictable pricing model.
May 25

Artificial Intelligence • B2B • Enterprise
thinkbridge is a global digital product development and technology advisory firm that helps growth-stage and mid-market companies modernize their tech stacks, build customer-facing platforms, and adopt AI and automation to accelerate value and scale. They offer end-to-end services including digital and technology strategy, GenAI consulting, application modernization, modern application development, DevOps/ML Ops, integrations, automation and 24x7 maintenance — with industry-focused work in financial services, energy/utilities, health and staffing. thinkbridge emphasizes fast, outcome-driven delivery using proprietary accelerators and a predictable pricing model.
• Architect end-to-end ML/AI solutions that actually work in production • Build and maintain production-grade systems with proper monitoring, alerting, and continuous improvement • Make strategic technical decisions on approach, tools, and implementation • Translate complex AI concepts into business value for clients • Set technical direction for project teams through architecture and best practices • Stay current with AI research and identify practical applications for client problems
• Strong Python proficiency with production ML experience • Hands-on experience deploying AND maintaining ML systems in production • Experience with both GenAI (LLMs, RAG systems) and classical ML techniques • Understanding of ML monitoring, drift detection, and model lifecycle management • Cloud deployment experience (Azure knowledge helpful; AWS experience highly valued) • Containerization and basic MLOps practices
• Work from anywhere! • Flexible work hours • All leaves taken are paid leaves • Family Insurance • Quarterly Collaboration Week
Apply NowMay 24
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