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Embedded Machine Learning Engineer Jobs in Tennessee

Senior AI/ML Engineer

Nashville, TN ยท Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning solutions on AWS. The role includes LLM orchestration, RAG pipelines, vector database integration ...

Embedded Software Engineer

La Vergne, TN ยท On-site

$124K - $164K/yr

Nashville, TN At Coats, we design, build, and support the technologies and machines that keep ... We are hiring a mid-level Software Engineer (Engineer II) to design, develop, and maintain software ...

Embedded Software Engineer

La Vergne, TN ยท On-site

$124K - $164K/yr

Nashville, TN At Coats, we design, build, and support the technologies and machines that keep ... We are hiring a mid-level Software Engineer (Engineer II) to design, develop, and maintain software ...

... machine learning models and large language models. โ€ข Conduct research to provide technical ... & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot ...

Heads meetings regarding AI with external parties and internal business-embedded innovation teams ... Designing and implementing machine learning models using various programming languages such as ...

... Engineer (Embedded/Firmware) in Knoxville, Tennessee. Location: Knoxville TN Salary: Highly ... machines, together with veteran business leaders experienced in scaling companies and ...

Software Engineer- Embedded/Firmware

Knoxville, TN ยท On-site

$91K - $125K/yr

... Engineer (Embedded/Firmware) in Knoxville, Tennessee. Location: Knoxville TN Salary: Highly ... machines, together with veteran business leaders experienced in scaling companies and ...

Software Engineer- Embedded/Firmware

Knoxville, TN ยท On-site

$91K - $125K/yr

... Engineer (Embedded/Firmware) in Knoxville, Tennessee. Location: Knoxville TN Salary: Highly ... machines, together with veteran business leaders experienced in scaling companies and ...

AI Solutions Architect

Nashville, TN ยท On-site

$60.75 - $80.25/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Generative AI Engineer III

Nashville, TN ยท On-site

$55.50 - $74.50/hr

As a Generative AI Engineer III, you will design and deploy machine learning and AI solutions while collaborating with various stakeholders to translate requirements into technical solutions.

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Showing results 1-20

Embedded Machine Learning Engineer information

See Tennessee salary details

$63.5K

$139.2K

$157.9K

How much do embedded machine learning engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for embedded machine learning engineer in Tennessee is $139,213.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,400.00 and $157,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Embedded Machine Learning Engineer, and why are they important?

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What does an Embedded Machine Learning Engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What are some common challenges faced by Embedded Machine Learning Engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What cities in Tennessee are hiring for Embedded Machine Learning Engineer jobs? Cities in Tennessee with the most Embedded Machine Learning Engineer job openings:
Senior AI/ML Engineer

Senior AI/ML Engineer

Eliassen Group

Nashville, TN โ€ข Remote

$90 - $100/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago


Job description

Senior AI/ML Engineer

Anywhere

Type: Contract-to-Hire

Category: Development

Industry: Government

Workplace Type: Remote

Reference ID: JN -052026-107129

Date Posted: 05/26/2026

Shortcut: http://careers.eliassen.com/YsQ2uG

  • Description

  • Recommended Jobs

Description:

Remote

Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning solutions on AWS. The role includes LLM orchestration, RAG pipelines, vector database integration, and multi-agent systems. The engineer will build predictive models, apply document AI with transformers, and integrate models into secure production workflows. Collaboration with product managers, architects, and cross-functional teams will ensure solutions align with business goals. This position requires availability for meetings during Eastern Time business hours.

Due to federal security clearance requirements, applicant must be a United States Citizen or Permanent Resident with an active Public Trust clearance. This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis and convert to FTE following contract duration. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $90.00 to $100.00/hr. w2

JN -052026-107129

Responsibilities:

  • Engineer AI solutions using LLM providers and implement complex multi-agent workflows.

  • Design and develop predictive models using regression, classification, clustering, and neural networks.

  • Build RAG pipelines, integrate vector databases, and apply prompt engineering with LangChain or LangGraph.

  • Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies.

  • Apply software engineering best practices for maintainable, efficient, reliable, and secure code.

  • Identify and resolve performance bottlenecks and security vulnerabilities.

  • Implement CI/CD using Terraform, GitLab, and GitLab Runner with automated testing and security scans.

  • Support production deployments, smoke testing, monitoring, root cause analysis, and issue resolution.

  • Collaborate in Agile ceremonies, estimate work, and participate in reviews, demos, and retrospectives.

Experience Requirements:

  • 10+ years in Software or IT with 7+ years in data analysis, AI engineering, and machine learning engineering.

  • Hands-on experience with LLM orchestration, integration, and vLLM-based inference for document understanding.

  • Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering.

  • Strong Python skills with TensorFlow and PyTorch.

  • Proven AWS expertise including Bedrock, Lambda, ECS, SQS, SNS; additional experience with S3, ELB/ALB, Aurora RDS preferred.

  • Experience with image transformer models for document image understanding, including Microsoft DiT.

  • Experience with self-supervised learning and leveraging pre-trained transformer backbones for document AI tasks.

  • Integration of transformers into OCR pipelines and collaboration with OCR technologies.

  • OpenCV-based image processing for document analysis.

  • CI/CD with Terraform, GitLab, and GitLab Runner.

  • Nice to have: Java, Spring Boot, Spring/JPA, Hibernate/MyBatis, JBoss/Fuse Camel/AMQ, SQL, Oracle, REST services.

  • Familiarity with AI coding tools such as Claude and Codex.

  • Strong problem solving and communication skills with ability to work independently.

  • AWS certification required such as Solutions Architect Associate, Developer Associate, Machine Learning Engineer Associate, SysOps Admin Associate, or Cloud Practitioner.

  • Public Trust eligibility and awareness of 3 to 6 week clearance timeline, including fingerprinting. Must have been a U.S. permanent resident for at least the last 2 years.

Education Requirements:

  • BA/BS in Computer Science, Machine Learning, or related field with 10 years of experience, or MA/MS or higher with 8 years of experience.

  • Additional experience does not substitute for the education requirement.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( noreply@eliassen.com , 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Groupโ€™s use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.

If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

ยท When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

ยท Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact fraud@eliassen.com .

About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clientsโ€™ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

Donโ€™t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!


Eliassen Group logo

About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989