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.
Key Responsibilities:
- 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.
WHAT YOU WILL NEED TO BE INTERVIEWED:
- 3–4+ years of ML engineering experience—
- Building ML pipelines AND deploying device-to-cloud pipelines for IoT/edge environments.
- Proven software engineering skills: Python, C++, or similar.
- AWS experience
- Hands-on experience with edge hardware (e.g., NVIDIA Jetson) and low-level data processing, Edge computing, IoT, OR deploying models to embedded devices.
- Wireless systems exposure is a Plus!
- Experience with streaming or event-driven data architectures.
- Proficient in cloud data services, streaming, and orchestration (AWS, Azure, GCP, Kinesis, MQTT, Kafka, etc.).
- Data cleansing, data ingestion, and data engineering dealing with disparate complex data sources and getting data OFF OF Edge devices to !!!
- MUST HAVE SKILLS: MQTT, Telemetry, Sensor Data, Data Pipeline, Edge Computing, On-Prem, Device to Cloud, Data Orchestration
- Deep knowledge of sensor/telemetry data and proven capability in building scalable data infrastructure for ML/AI use cases.
- Experience with on-premises distributed systems and cloud integration. End to end data solutions
- Comfortable in a fast-paced, product-driven startup environment.
Highly Desirable:
- Prior work with edge AI or industrial IoT, developing robust real-time MLOps data pipelines.
- Experience preparing and optimizing data for machine learning and advanced analytics.
- Exposure to hardware/software integration in distributed, production-grade environments.
Keywords for Search:
IoT Edge, AI Edge Data Engineer, NVIDIA Jetson, MLOps, Python, Computer Vision
Join our dynamic team and help shape how the world’s data moves from the edge to the cloud, powering next-generation AI solutions.
Apply today to drive innovation in a high-impact ML data engineering role.
Direct Hire FTE direct hire position up to $125K, plus potential other incentives.
For immediate and confidential consideration on this
IoT Edge AI MLOps Engineer = Hybrid
in the
Pittsburgh PA
or
Des Moines Iowa
Market, please call Carrie Danger, SVP at 515-259 6087, or apply confidentially via LinkedIn. Your resume will not be submitted to any client companies without your direct permission.