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Ai Ml Rf Engineer Jobs (NOW HIRING)

Digital Links Inc

AI/ML Engineer

Minneapolis, MN · On-site

AI/ML Engineer Duration: 3-month contract (Could be extended for 6 months before conversion) Location: Minneapolis, MN (Remote/hybrid) Role Objective We are seeking a hands-on AI/ML Engineer to ...

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

AI/ML Engineer Location: Dallas, TX, United States Job Type: Full-Time Experience: 0-3 years Work Authorization: OPT, H-1B, , or other valid US work authorization Job Summary We are seeking a ...

YO AI Labs

AI/ML Engineer - Remote

New York, NY · Remote

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

SOSi

AI/ML Engineer

Chantilly, VA · On-site

The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural ...

SOSi

AI/ML Engineer

Chantilly, VA · On-site

The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural ...

YO AI Labs

AI/ML Engineer - Remote

Miami, FL · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

YO AI Labs

AI/ML Engineer - Remote

Los Angeles, CA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

YO AI Labs

AI/ML Engineer - Remote

Phoenix, AZ · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

YO AI Labs

AI/ML Engineer - Remote

Chicago, IL · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

YO AI Labs

AI/ML Engineer - Remote

San Francisco, CA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

YO AI Labs

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

YO AI Labs

AI/ML Engineer - Remote

Austin, TX · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

Parsons

AI/ML Engineer

Aberdeen, MD

Parsons is looking for an amazingly talented AI/ML Engineer to join our team! In this role you will get to d esign, develop, deploy, and maintain Artificial Intelligence (AI) and Machine Learning (ML ...

YO AI Labs

AI/ML Engineer - Remote

San Jose, CA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

YO AI Labs

AI/ML Engineer - Remote

Houston, TX · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

Assured Consulting Solutions

AI/ML Engineer

Reston, VA · On-site

They are seeking an experienced AI/ML Engineer to develop and implement AI/ML capabilities for mission-critical problems, focusing on model training and deployment. The role involves collaborating ...

Parsons

AI/ML Engineer

$74K - $130K/yr

Parsons is looking for an amazingly talented AI/ML Engineer to join our team! What You'll Be Doing: * Design, develop, and deploy AI/ML models and tools for data mining, predictive modeling, and ...

ShiftCode Analytics, Inc.

AI/ML Engineer

Brooklyn, NY · On-site

ShiftCode Analytics, Inc. is seeking an AI/ML Engineer to enhance their AI/ML capabilities. The role focuses on infrastructure, MLOps, and cloud AI deployment, requiring strong expertise in ...

Noblis

AI/ML Engineer

Reston, VA · On-site

Responsibilities Noblis is seeking an AI/ML Engineer with a TS/SCI with Polygraph to support mission-critical national security initiatives. In this role, you will design, develop, and deploy ...

Nastech Global

AI/ML Engineer

Irving, TX · On-site

AI/ML Engineer Location: Irving, TX(Onsite) Job Type: Full Time Job Title: Data Engineer -ML We are looking for a highly skilled and passionate Data Engineer with strong Python/PySpark experience and ...

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Ai Ml Rf Engineer information

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$37K

$117.7K

$183K

How much do ai ml rf engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for ai ml rf engineer in the United States is $117,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $139,000.00 per year, depending on experience, location, and employer.

What is an AI ML RF engineer?

AI/ML/RF Engineers are professionals who combine expertise in artificial intelligence (AI), machine learning (ML), and radio frequency (RF) engineering. They develop algorithms and systems that utilize machine learning techniques to process, analyze, and optimize RF signals for applications such as wireless communications, radar, and IoT devices. Their work often involves designing models to improve signal clarity, reduce interference, and enable smarter, adaptive RF systems. This multidisciplinary role requires knowledge of signal processing, programming, statistical analysis, and RF hardware.

What are the key skills and qualifications needed to thrive as an AI ML RF engineer?

To thrive as an AI/ML RF Engineer, you need a solid background in electrical engineering, signal processing, machine learning, and radio frequency (RF) systems, often supported by a relevant degree. Proficiency with simulation tools (such as MATLAB, CST, HFSS), programming languages (like Python or C++), and experience with RF measurement equipment are typically required. Strong analytical thinking, problem-solving skills, and effective communication help you collaborate across multidisciplinary teams and innovate solutions. These skills and qualities are vital for designing advanced RF systems that leverage AI/ML, ensuring optimal performance in complex, evolving wireless environments.

How do AI ML RF engineers typically collaborate with cross-functional teams during the development of wireless communication systems?

AI/ML/RF Engineers often work closely with hardware designers, software developers, and data scientists to develop and optimize wireless communication systems. They contribute by integrating machine learning algorithms with radio frequency (RF) hardware, ensuring seamless data flow and effective problem-solving. Regular meetings, code reviews, and joint testing sessions are common, enabling robust collaboration and knowledge sharing. This multidisciplinary teamwork is crucial for successfully deploying intelligent and efficient wireless solutions.

What is the difference between Ai Ml Rf Engineer vs Data Scientist?

AspectAi Ml Rf EngineerData Scientist
Required CredentialsBachelor's/Master's in Engineering, Computer Science, or related fields; knowledge of RF, AI/ML, and signal processingBachelor's/Master's in Data Science, Statistics, or related fields; strong programming and analytical skills
Work EnvironmentResearch labs, telecommunications, RF hardware, software developmentData analysis, modeling, visualization, and business insights
Industry UsageTelecommunications, defense, IoT, wireless communicationFinance, healthcare, marketing, tech companies

While both roles involve data and AI/ML skills, the Ai Ml Rf Engineer specializes in RF systems and wireless communication, whereas the Data Scientist focuses on data analysis and modeling across various industries. The roles share some technical skills but differ in domain expertise and application focus.

What are popular job titles related to Ai Ml Rf Engineer jobs?

For Ai Ml Rf Engineer jobs, the most frequently searched job titles are:

Infographic showing various Ai Ml Rf Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $117,680 per year, or $56.6 per hour.

AI/ML Engineer

Minneapolis, MN • On-site

Digital Links Inc
See more jobs at Digital Links Incexternal

Contractor

Re-posted 19 days ago

Job description

Job Description:

 
Role: AI/ML Engineer 
Duration: 3-month contract (Could be extended for 6 months before conversion)
Location: Minneapolis, MN (Remote/hybrid)
 
Role Objective
We are seeking a hands-on AI/ML Engineer to design, build, and deploy production-grade AI solutions. This role requires strong expertise in Generative AI, RAG (Retrieval-Augmented Generation), and enterprise integrations. The ideal candidate should be capable of independently delivering scalable AI systems aligned with business use cases.
 
Must-Have Skills (Non-Negotiable)
1. Core AI/ML Engineering
Strong proficiency in Python (NumPy, Pandas, PyTorch/TensorFlow)
Experience building and deploying end-to-end ML/AI systems
Ability to take solutions from prototype to production
2. Generative AI & LLMs
Hands-on experience with LLMs (OpenAI, Vertex AI, etc.)
Strong prompt engineering and evaluation techniques
Experience building enterprise-grade GenAI applications
3. RAG (Critical Requirement)
Proven experience designing and implementing RAG architectures
Experience with vector databases (Pinecone, Weaviate, etc.)
Ability to integrate domain-specific data into AI systems
4. Agentic AI / AI Agents
Experience building AI agents / multi-agent systems
Familiarity with orchestration frameworks and modern agent SDKs
5. API & Backend Development
Strong experience with FastAPI or Flask
Ability to build scalable AI services and APIs
6. Cloud & Deployment (GCP Preferred)
Experience with GCP (preferred) or AWS/Azure
Deploying AI solutions in cloud-native environments
Understanding of scalability, performance, and cost optimization
7. DevOps & Production Readiness
Experience with CI/CD (GitLab, Jenkins)
Infrastructure as Code (Terraform/Ansible)
Monitoring, logging, and AI observability
 
Nice-to-Have (Strong Plus)
Experience in education / digital learning platforms
Exposure to regulated environments
Knowledge of TypeScript / Java / SQL
Experience integrating AI into enterprise systems
 
Experience Required
5+ years in Software Engineering / AI/ML
Proven track record of:
Delivering production AI systems
Working in Agile cross-functional teams
Driving solutions with minimal oversight