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Trainee Edge Ai Machine Learning Jobs (NOW HIRING)

OVA.Work

Edge AI Engineer

$134K - $177K/yr

Work is seeking an Edge AI Engineer to design, develop, optimize, and deploy artificial intelligence and machine learning models on edge devices. The role focuses on building low-latency, power ...

New

Chefman

Machine Learning Engineer

Mahwah, NJ · On-site

This is an opportunity to work at the intersection of machine learning, embedded systems, computer vision, and smart consumer technology, bringing cutting-edge AI from research into products used by ...

CyberMedia Technologies

AI / Machine Learning Engineer

$117K - $140K/yr

We are seeking to hire a AI/Machine Learning Engineer to our team! Role Overview: As an AI/ML Engineer for CTEC, you will develop Agentic AI systems designed to automate and optimize health benefits ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Benefits * Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High ...

RIVIDIUM

AI / Machine Learning Lead

Alexandria, VA · Hybrid

RiVidium is seeking an AI / Machine Learning Lead to support our planned MODES III team supporting Military Community and Family Policy (MC&FP). This role supports IT, Cybersecurity, and Data ...

GN Group

Machine Learning Engineer - Edge

Lowell, MA · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Turn up the volume on your career as Cloud AI/ML Engineer GN brings people closer through our ...

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Trainee Edge Ai Machine Learning information

What is the difference between Trainee Edge Ai Machine Learning vs Data Analyst?

AspectTrainee Edge Ai Machine LearningData Analyst
Required CredentialsBasic programming, introductory AI/ML coursesStatistics, data visualization, Excel, SQL
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports

While both roles involve working with data, Trainee Edge Ai Machine Learning focuses on developing and training AI models, requiring programming and machine learning knowledge. Data Analysts primarily interpret existing data to inform business decisions, emphasizing statistical analysis and visualization skills. The roles differ in technical depth and focus but often overlap in data handling and industry usage.

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Edge AI Engineer

OVA.Work

Remote

$134K - $177K/yr

Full-time

Posted 5 days ago

New

Job description

Job Summary:
OVA.Work is seeking an Edge AI Engineer to design, develop, optimize, and deploy artificial intelligence and machine learning models on edge devices. The role focuses on building low-latency, power-efficient AI applications for various domains including IoT, robotics, and healthcare.
Responsibilities:
• Design, develop, and deploy AI/ML models for edge devices and embedded systems.
• Optimize deep learning models for low-latency, memory-efficient, and power-efficient inference.
• Convert and deploy models using frameworks such as TensorFlow Lite, ONNX Runtime, TensorRT, and OpenVINO.
• Develop AI applications for computer vision, speech processing, sensor analytics, and real-time decision-making.
• Integrate AI models with embedded hardware, IoT devices, and edge computing platforms.
• Collaborate with hardware engineers, firmware developers, software engineers, and data scientists to deliver end-to-end edge AI solutions.
• Develop and optimize inference pipelines for GPUs, NPUs, TPUs, DSPs, and microcontrollers.
• Perform model benchmarking, profiling, quantization, pruning, and performance tuning.
• Implement secure model deployment, over-the-air (OTA) updates, and device lifecycle management.
• Build APIs and edge services for AI-enabled applications.
• Monitor deployed edge AI systems and continuously improve performance, reliability, and resource utilization.
• Stay current with advancements in edge computing, embedded AI, AI accelerators, and TinyML technologies.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Electronics, Embedded Systems, Electrical Engineering, Robotics, or a related field.
• 3–8+ years of experience in AI/ML, embedded systems, edge computing, or software engineering.
• Strong proficiency in Python and C/C++.
• Experience developing and deploying machine learning and deep learning models.
• Knowledge of embedded Linux, real-time operating systems (RTOS), and IoT architectures.
• Experience with model optimization and deployment frameworks.
• Familiarity with computer vision, signal processing, or sensor fusion applications.
• Strong understanding of software engineering principles, debugging, and performance optimization.
Preferred:
• Experience with NVIDIA Jetson, Raspberry Pi, Qualcomm AI platforms, Client Movidius, Google Coral, or similar edge hardware.
• Knowledge of TinyML and microcontroller-based AI deployments.
• Experience with robotics, autonomous systems, or industrial automation.
• Familiarity with MLOps for edge deployments and fleet management.
• Experience with cloud-edge integration and edge orchestration platforms.
• Relevant AI, embedded systems, or cloud certifications.
Company:
OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms of all sizes. Founded in 2018, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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