Role overview
IoT AI Edge MLOps Engineer - Reward of working for a Cutting Edge IoT company!
NOT GenAI ML experience, this is Edge IoT ML Engineer position! Device experience is required.
*Job Posting: IoT AI Edge MLOps Engineer – Hi-TECH AI SaaS Company - Direct Hire FTE Position
LOCATION: Pittsburgh PA
HYBRID IN PITTSBURGH PA
WORK AUTHORIZATION: F1 OR OPT potentially CONSIDERED for the right candidate IF You have 3 years left on your OPT authorization.
- APPLY TODAY IF YOU HAVE EDGE DEVICE IOT ML ENGINEERING, INTERVIEWS RIGHT AWAY .....this is NOT a DATA Engineer position! You MUST have ML experience. You MUST have experience writing Code since BEFORE the onset your University education!!!**
Are you passionate about powering real-time AI and analytics at the intersection of devices, data, and the cloud? Our fast-growing, innovative SaaS fast GTM fast growing, industry disruptor is seeking an experienced IoT AI Edge MLOps Engineer to architect and build the next generation of edge-to-cloud data pipelines supporting distributed, sensor-driven platforms. You’ll be working with cutting-edge edge hardware, including NVIDIA Jetson, and developing solutions that transform raw sensor data into powerful, ML-ready streams and data pipelines.
*YOU MUST HAVE: Data cleansing, data ingestion, and data engineering dealing with disparate complex data sources and getting data OFF OF Edge devices!!! THIS IS NOT A data science / data engineering typical role, you must have the EDGE IoT device experience PLUS ML experience PLUS experience building ML data pipelines.
* To be considered on this pioneering team to Carrie Danger, Robert Half Technology / SVP Permanent Placement and apply to this position.
What you'll work on
- Design and implement high-performance data ingestion pipelines for IoT systems, from device through on-premises infrastructure to cloud platforms.
- Develop edge computing solutions leveraging platforms like NVIDIA Jetson for near-real-time data processing, orchestration, and distribution.
- Build robust frameworks to clean, validate, and prepare sensor, telemetry, and machine data for downstream ML engineering teams.
- Architect and software engineer, infrastructure for reliable edge-to-cloud connectivity and data workflows,
- Looking for experience: using technologies such as MQTT, Kinesis, and related telemetry protocols.
- You MUST HAVE on prem hardware device experience : Optimize on-prem and distributed data flows for scalable, resilient performance.