Join Trinity Technology Solutions as an AI Engineer to lead the development of full-stack data and ML pipelines for robotics and vision systems. Leverage your extensive experience in AI engineering to design scalable infrastructure and integrate edge intelligence.
What You’ll Do: • Spearhead full-stack data & ML pipelines for sensor, video, and telemetry data powering real-time robotics and vision systems. • Design scalable infrastructure with strong foundations-schema, lineage, validation, and anomaly detection for embedded AI. • Integrate edge intelligence, observability, & feedback loops into robotics and perception. • Set technical standards, mentor talent, and align architecture to real-world product goals. Valued Experience: • 10+ years driving data infra, ML systems, or end-to-end AI engineering at scale. • Hands-on with orchestration tools, feature stores, and cloud infra (AWS, GCP, Azure). • Deep software engineering skills (Python, Scala, Java) & streaming frameworks (Spark, Flink). • Background with robotics, CV data, and edge deployment preferred. • Be the visionary who delivers intelligence to robots at scale. Apply today-Lead and Build tomorrow’s physical AI. • Hands-on and Strategic software architecture and software development expertise for a Physical product-robotics or Industrial automation. • Thrive in a highly dynamic growth stage company! • Experience with Large industrial robotics/industrial automation/manufacturing of interest
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Managed Health Care Associates is seeking a Cloud & AI Systems Engineer to architect and optimize cloud infrastructure while integrating AI and ML capabilities. This hybrid or remote role requires expertise in Microsoft Azure and collaboration across various teams.
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Join Trinity Technology Solutions as an AI Engineer to lead the development of full-stack data and ML pipelines for robotics and vision systems. Leverage your extensive experience in AI engineering to design scalable infrastructure and integrate edge intelligence.