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Edge Ai Machine Learning Jobs in Pennsylvania (NOW HIRING)

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site

Gather AI is pioneering a new era of warehouse intelligence with innovative software that utilizes ... Edge ML deployment experience (ONNX, TensorRT, mobile/embedded inference) • Familiarity with ...

Gehc

AI Engineer

North East, PA

Summary The AI Scientist will work in teams addressing statistical, machine learning and data ... edge environments. Our Science & Technology organization develops AI capabilities that improve ...

LHi Group Ltd

Staff Machine Learning Engineer

Calumet, PA · On-site

$280K/yr

* Staff Applied Machine Learning Engineer * Remote (must be based in USA) * Work Authorization: ship ... Work on cutting-edge technologies including Agentic AI, NLP, search, knowledge graphs, and semantic ...

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Edge Ai Machine Learning information

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the most commonly searched types of Edge Ai Machine Learning jobs in Pennsylvania?

The most popular types of Edge Ai Machine Learning jobs in Pennsylvania are:

What are popular job titles related to Edge Ai Machine Learning jobs in Pennsylvania?

For Edge Ai Machine Learning jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Edge Ai Machine Learning jobs in Pennsylvania look for?

The top searched job categories for Edge Ai Machine Learning jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Edge Ai Machine Learning jobs?

Cities in Pennsylvania with the most Edge Ai Machine Learning job openings:

Edge Ai Machine Learning jobs near you
Infographic showing various Edge Ai Machine Learning job openings in Pennsylvania as of August 2026, with employment types broken down into 22% Internship, and 78% Full Time. Highlights an 100% In-person job distribution.

AI / Machine Learning consultant

Stackruit Ltd.

Yardley, PA • On-site

$100 - $130/hr

Other

Posted 7 days ago

Job description

Overview

We are seeking an experienced AI/ML Consultant to help a client automate their manual processes and develop machine learning/AI decision‑making software. The client currently receives large data records in .pdf files, manually maps this data to MS Excel spreadsheets, and performs manual BI reporting for decision‑making. This project is initially full‑time for a few months, transitioning to part‑time or as‑needed for the rest of the year for minor upgrades or feature enhancements.

Role Responsibilities
  • Requirement Gathering: Collaborate with stakeholders and users to gather detailed business requirements.
  • Project Planning: Develop a comprehensive project plan, timeline, and iterative software launch schedule.
  • Initiative and Consultation: Provide consultative guidance, make proactive suggestions, and coach the client throughout the process.
  • Development: Design and develop AI/ML solutions using Python and Visual Studio for back‑end machine learning.
  • Front‑End Development: Utilize tools like R, Angular, Go‑Lang, or similar for front‑end development.
  • Data Migration: Import and migrate data from various sources such as .pdf files, flat files, and screen scrapes.
  • Client Presentations: Conduct presentations on project achievements and progress.
  • Training and UAT: Train clients on software usage and support user acceptance testing (UAT).
Required Skills
  • 6+ years of experience in AI/ML architecture and development
  • Proficiency in Python and Visual Studio for back‑end development
    Front‑end development skills with tools such as R, Angular, or Go‑Lang
    Ex
  • ience in data import/migration from various sources
  • Strong background in gathering business requirements and use cases
  • Expertise in project planning and iterative deployments
  • Skilled in client presentations and training
Bonus/Soft Skills

Strong consultative approach with the ability to nurture and coach clients

We are proud to be an Equal Opportunity Employer. We welcome applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, protected veteran status, or any other status protected by law.

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