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Wireless Ai Machine Learning Jobs (NOW HIRING)

Optimus Technology, Inc

As an AI/Machine Learning Engineer, you will work directly with mission users to capture these workflows, document operational decision points, and translate them into effective AI enabled ...

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 ...

OmegaHires

AI / Machine Learning Roles (Remote, USA)

$87 - $117/hr

AI / Machine Learning Roles (Remote, USA) Location: Remote, USA Employment type: Contract Indicative rate: $87-$117/hr We are seeking talented professionals in the AI and Machine Learning domain to ...

New

OneBlood

AI & Machine Learning Engineer

Saint Petersburg, FL · On-site

$92K - $126K/yr

Overview Oversees the coding, pipeline development, execution, and delivery of Artificial Intelligence (AI) and Machine Learning (ML) projects across the organization. Works with cross-functional ...

Veritone, Inc.

AI/Machine Learning Engineer

Irvine, CA · On-site

Veritone's leading enterprise AI platform, aiWARE™, orchestrates an ever-growing ecosystem of machine learning models, transforming data sources into actionable intelligence. By blending human ...

MY DR NOW

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr (+ commission)

Design, develop, and deploy AI-powered healthcare applications using Large Language Models (LLMs), Machine Learning, and Generative AI * Build intelligent agents, RAG solutions, prompt workflows, and ...

OneBlood

AI & Machine Learning Engineer

Saint Petersburg, FL · On-site

$105K - $127K/yr

Oversees the coding, pipeline development, execution, and delivery of Artificial Intelligence (AI) and Machine Learning (ML) projects across the organization. Works with cross-functional teams and ...

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Wireless Ai Machine Learning information

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How much do wireless ai machine learning jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for wireless ai machine learning in the United States is $15.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $15.87 per hour, depending on experience, location, and employer.

What is a Wireless AI Machine Learning engineer?

A Wireless AI Machine Learning engineer is a professional who specializes in applying artificial intelligence and machine learning techniques to optimize and enhance wireless communication systems. This role typically involves developing algorithms to improve network performance, automate tasks, and enable intelligent decision-making in wireless networks. These engineers work on projects related to 5G/6G, the Internet of Things (IoT), and other emerging wireless technologies. They often collaborate with data scientists and network engineers to develop solutions for challenges such as signal processing, resource allocation, and network security. Their expertise helps drive innovation in the rapidly evolving field of wireless communications.

What are the key skills and qualifications needed to thrive as a Wireless AI Machine Learning engineer?

To thrive as a Wireless AI Machine Learning Engineer, you need a strong background in wireless communications, machine learning algorithms, and programming, typically supported by a degree in computer science, electrical engineering, or a related field. Proficiency with tools such as Python, TensorFlow, PyTorch, MATLAB, and wireless simulation platforms, as well as knowledge of wireless standards, is essential. Innovative problem-solving, collaboration, and strong analytical thinking are standout soft skills in this position. These skills are crucial for designing intelligent wireless systems that optimize network performance and adapt to complex, dynamic environments.

How does a Wireless AI Machine Learning engineer typically collaborate with cross-functional teams to deploy solutions effectively?

Wireless AI Machine Learning engineers often work closely with hardware engineers, data scientists, and network architects to develop and implement intelligent wireless solutions. Collaboration usually includes sharing models and insights, integrating AI algorithms with hardware, and optimizing performance based on real-world feedback. Regular meetings and agile workflows are common, ensuring that machine learning models are aligned with both technical requirements and customer needs. This teamwork enhances solution robustness and keeps projects on track for timely deployment.

What is the difference between Wireless Ai Machine Learning vs Wireless Network Engineer?

AspectWireless Ai Machine LearningWireless Network Engineer
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of machine learning frameworksDegree in Telecommunications, Computer Engineering; networking certifications (e.g., CCNA)
Work EnvironmentResearch labs, tech companies, AI-focused projectsTelecom companies, network infrastructure sites, enterprise environments
Industry UsageDeveloping AI algorithms for wireless systems, data analysisDesigning, implementing, maintaining wireless networks
Common Search/ComparisonYesYes

Wireless Ai Machine Learning focuses on developing AI algorithms for wireless systems, while Wireless Network Engineers design and maintain wireless networks. Both roles require technical expertise but differ in their core functions and industry applications.

Is Wireless AI Machine Learning a good career?

Wireless AI Machine Learning is a growing field that involves developing algorithms and models for wireless communication systems using artificial intelligence and machine learning techniques. It requires skills in data analysis, programming, and understanding of wireless networks, with job opportunities in tech companies, research institutions, and telecommunications. The field offers high demand, competitive salaries, and opportunities for innovation and advancement.

What other helpful pages are available for Wireless Ai Machine Learning?

Other pages related to Wireless Ai Machine Learning:

Infographic showing various Wireless Ai Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $31,893 per year, or $15.3 per hour.

Gen AI / Machine Learning Engineer

Washington, DC • On-site

AIToolboard
See more jobs at AIToolboardexternal

Other

Re-posted 5 days ago

Key responsibilities

  • Design, develop, and deploy NLP and Generative AI solutions in production environments

  • Fine-tune and optimize Large Language Models (LLMs) for domain-specific use cases

  • Build and maintain ML pipelines for data ingestion, preprocessing, training, and inference

Job description

/Gen AI / Machine Learning Engineer# Gen AI / Machine Learning EngineerAptonetUSContractor## About the RoleGen AI / Machine Learning Engineer (NLP Focus) Location: Washington, DC (Onsite) Work Authorization: Must be authorized to work in the U.S. Clearance: Ability to obtain Public Trust or higher (if applicable)Role OverviewWe are seeking a highly skilled Generative AI / Machine Learning Engineer with strong expertise in Natural Language Processing (NLP) to design, develop, and deploy AI-driven solutions. This role will focus on building scalable ML systems, fine-tuning large language models (LLMs), and implementing NLP pipelines that power enterprise applications.The ideal candidate combines strong theoretical ML knowledge with hands-on engineering experience in modern AI frameworks and cloud-based ML infrastructure.Key Responsibilities• Design, develop, and deploy NLP and Generative AI solutions in production environments• Fine-tune and optimize Large Language Models (LLMs) for domain-specific use cases• Build and maintain ML pipelines for data ingestion, preprocessing, training, and inference• Develop prompt engineering strategies and evaluate model performance• Implement Retrieval-Augmented Generation (RAG) architectures• Work with structured and unstructured text datasets• Conduct model evaluation, error analysis, and performance tuning• Collaborate with data engineers and software teams to integrate AI models into applications• Ensure responsible AI practices including bias mitigation, explainability, and governance• Maintain documentation and contribute to AI best practices and architecture standardsRequired Qualifications• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field• 5+ years of experience in Machine Learning or AI engineering• 3+ years of hands-on experience with NLP• Strong programming skills in Python• Experience with ML frameworks such as:• PyTorch• TensorFlow• Scikit-learn• Experience working with:• Hugging Face Transformers• OpenAI / LLM APIs• LangChain or similar orchestration frameworks• Experience building and deploying models in cloud environments (AWS, Azure, or GCP)• Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate)• Strong understanding of:• Embeddings• Tokenization• Text classification• Named Entity Recognition (NER)• Sentiment analysis• Semantic search• Experience with REST APIs and microservices architecture• Familiarity with CI/CD pipelines for ML deploymentPreferred Qualifications• Experience with:• RAG architectures• LLM fine-tuning (LoRA, PEFT, etc.)• Distributed training• MLOps tools (MLflow, Kubeflow, SageMaker)• Experience working in regulated or government environments• Exposure to AI governance and compliance frameworks• Experience handling sensitive or classified datasetsNice to Have• Knowledge of reinforcement learning from human feedback (RLHF)• Experience building chatbots, copilots, or AI assistants• Experience with knowledge graphs• Familiarity with Kubernetes and containerization### Apply for this PositionFill out the form below to apply for this roleLocationUS #J-18808-Ljbffr

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