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Edge Ai Machine Learning Jobs (NOW HIRING)

OneBlood

AI & Machine Learning Engineer

Saint Petersburg, FL · On-site

$105K - $127K/yr

... AI) and Machine Learning (ML) projects across the organization. Works with cross-functional teams ... edge solutions * Ensures the accuracy, consistency, and security of data; implements and enforces ...

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 ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · Hybrid

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 ...

Hyperproof

AI / Machine Learning Engineer

Woodbridge, NJ · On-site

$100 - $130/hr

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified ...

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 ...

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 ...

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 ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

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All JobsEdge Ai Machine Learning Jobs

Edge Ai Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do edge ai machine learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for edge ai machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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 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 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.

How to become an edge AI machine learning engineer?

To become an edge AI machine learning engineer, develop strong skills in machine learning, embedded systems, and programming languages like Python and C++. Gain experience with hardware platforms such as NVIDIA Jetson or Raspberry Pi, and learn to optimize models for low-power, resource-constrained environments. Earning certifications in AI, embedded systems, or IoT can also enhance your qualifications.
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Edge Ai Machine Learning jobs near you
Infographic showing various Edge Ai Machine Learning job openings in the United States as of August 2026, with employment types broken down into 25% Internship, and 75% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Operations Engineer

Valid8 Financial, Inc.

Manhattan, NY • On-site

$120 - $170/hr

Other

Medical, PTO

Posted 11 days ago

Job description

We are seeking aMachine Learning Operations (MLOps) Engineerto join our team. The MLOps Engineer will be responsible for building and maintaining the infrastructure that enables reliable deployment, monitoring, governance, and continuous improvement of production machine learning systems across enterprise client environments.

What You'll Do:
  • Design, build, and maintain scalable machine learning deployment pipelines.
  • Develop standardized model registries, artifact repositories, data versioning, and reproducible ML environments.
  • Build automated evaluation pipelines for production machine learning models.
  • Implement automated data quality monitoring including profiling, anomaly detection, validation, quarantine, and alerting.
  • Develop automated retraining workflows, promotion gates, rollback capabilities, and audit trails.
  • Monitor production environments for model drift, latency, prediction quality, infrastructure performance, and operational costs.
  • Troubleshoot production machine learning issues and lead incident response activities.
  • Build CI/CD pipelines supporting enterprise AI applications.
  • Collaborate closely with Data Scientists and client engineering teams to deploy and maintain AI solutions.
  • Ensure governance, security, lineage, reproducibility, and audit readiness across machine learning platforms.
Who You Are:
  • Passionate about building reliable AI infrastructure at enterprise scale.
  • Experienced deploying and maintaining production machine learning systems.
  • Strong analytical and troubleshooting skills.
  • Fast learner with attention to detail.
  • Excellent communication and collaboration skills.
  • Comfortable working with both software engineering and data science teams.

Education:Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related technical field.

Related Work Experience:3+ years supporting production machine learning platforms or cloud infrastructure.

Technical Skills:
  • Advanced SQL
  • Python
  • AWS SageMaker (Databricks, Azure ML, or Vertex AI experience is a plus)
  • Infrastructure as Code (Terraform, CloudFormation, or similar)
  • Model monitoring and ML observability tools
  • Data validation and automated testing frameworks
  • Statistics related to monitoring, model drift, and performance evaluation
  • Git and modern DevOps practices
Our Purpose and Culture

AtBDIPlus, we empower organizations to unlock the full potential of their data through AI, advanced analytics, and intelligent enterprise platforms. We partner with Fortune 500 organizations to build scalable data, AI, and machine learning solutions that solve complex business challenges and drive measurable business outcomes.

Innovation is at the core of everything we do. From modern data engineering and AI-powered products to cloud-native architectures and enterprise automation, our teams work on cutting-edge technologies that transform how businesses operate. We foster a collaborative culture where curiosity is encouraged, ideas are valued, and every employee has the opportunity to make a meaningful impact.

Working at BDIPlus offers:
  • The opportunity to work on enterprise-scale AI, machine learning, and data platform initiatives.
  • A diverse, collaborative, and highly innovative team.
  • Exposure to modern cloud technologies and cutting-edge AI platforms.
  • Continuous learning and professional development opportunities.
  • Full health and commuter benefits.
  • Competitive salary and annual bonus.
  • Standard paid time off, sick leave, and company holidays.
  • A culture that encourages creativity, ownership, collaboration, and continuous innovation.
Are you authorized to work in the United States? Are you authorized to work in the United States?

Will you now or in the future require sponsorship for employment visa status (e.g. H-1B status)? Will you now or in the future require sponsorship for employment visa status (e.g. H-1B status)?

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