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Remote Embedded Machine Learning Jobs in Tennessee

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Remote Embedded Machine Learning information

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

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What is a Remote Embedded Machine Learning Engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

What is the difference between Remote Embedded Machine Learning vs Remote Data Scientist?

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are some common challenges faced by Remote Embedded Machine Learning Engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.
What are the most commonly searched types of Embedded Machine Learning jobs in Tennessee? The most popular types of Embedded Machine Learning jobs in Tennessee are:
What job categories do people searching Remote Embedded Machine Learning jobs in Tennessee look for? The top searched job categories for Remote Embedded Machine Learning jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Embedded Machine Learning jobs? Cities in Tennessee with the most Remote Embedded Machine Learning job openings:
Infographic showing various Remote Embedded Machine Learning job openings in Tennessee as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.
Engineer, Software Development Architect

Engineer, Software Development Architect

Lifepoint Health

Brentwood, TN • Remote

Full-time

Posted yesterday


LifePoint Health rating

6.0

Company rating: 6.0 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

748th of 889 rated healthcare providers


Job description

EEOC Statement

"Lifepoint Health is an Equal Opportunity Employer. Lifepoint Health is committed to Equal Employment Opportunity for all applicants and employees and complies with all applicable laws prohibiting discrimination and harassment in employment."

You must be authorized to work in the United States without employer sponsorship.

This position is: Remote

Travel requirements: Less than 5% travel to HSC (Brentwood, TN) and/or facilities

Job Summary

As a Software Development Engineer/Architect, you will work with the Palantir "Foundry" Platform and other AI programming tools like Python and Typescript to build and deploy data-driven solutions across our healthcare system. You will be responsible for developing and managing data workflows, analyzing large datasets, and integrating AI and analytics solutions into real-world applications. This is a hands-on role that focuses on designing and developing applications from start to finish.  In addition, supporting ongoing development and enhancement of healthcare applications within the Palantir "Foundry" Platform.

Essential Job Functions:

Develop, optimize & rollout workflows and applications (40%)

  • Design, build, and optimize data models and workflows within Palantir to support analytics and AI-driven applications.
  • Create scalable and efficient data structures that facilitate effective data management and ensure accuracy in application outputs.
  • Put workflows and applications into production and ensure user engagement

Create and deploy end-to-end analytics applications (30%)

  • Develop and deploy comprehensive analytics and AI applications, utilizing Palantir, Python, and Typescript.
  • Conduct in-depth analysis of large, complex datasets to identify actionable insights, trends, and opportunities for improvement.
  • Apply advanced analytics techniques to support decision-making and enhance healthcare outcomes.
  • Ensure applications integrate seamlessly into healthcare workflows, optimizing operational processes and supporting healthcare delivery.

Collaborate with stakeholders to understand business needs (20%)

  • Engage with business stakeholders to understand strategic needs, translating business concepts into actionable data insights.
  • Communicate findings and proposed solutions to technical and nontechnical teams, aligning analytics solutions with organizational goals.

Support cross-functional integration and application performance (10%)

  • Work closely with cross-functional teams, including IT, business, and healthcare professionals, to integrate data-driven solutions into existing workflows.
  • Provide technical support and continuous improvement insights to ensure successful application deployment and performance.

Required Qualifications

  • 5+ years of experience in software development, data engineering, or analytics roles.
  • Proficiency in programming languages like Python, SQL, and Typescript for building analytics applications and managing large datasets.
  • Proven ability to translate broad business concepts into effective and scalable data solutions.
  • Experience in developing data models and performing data analysis.
  • Strong problem-solving skills and ability to work efficiently in a fast-paced environment, delivering impactful results while maintaining high-quality standards.
  • Strong communication skills to convey technical concepts to non-technical stakeholders.

Education: Bachelor's Degree in Computer Science, Data Science, Engineering, or a related field.

Preferred Qualifications

  • Familiarity with designing scalable and efficient analytics frameworks to support workflow applications.
  • Hands-on experience with analytics platforms and tools, including performance optimization and data visualization tools.
  • AI and LLM Aptitude: Strong curiosity and foundational understanding of AI concepts, including Large Language Models (LLMs), machine learning, and natural language processing (NLP), with a willingness to apply and deepen knowledge in these areas.
  • Experience collaborating with differing levels of leadership, IT, and business stakeholders to address strategic challenges.
  • Familiarity with AI and data science platforms such as Palantir, Dataiku, DataRobot, or similar, for developing and deploying data-driven solutions.
  • Experience with data visualization tools, such as Tableau, Power BI, or similar, for translating complex data insights into actionable, user-friendly visuals.
  • Certification in Palantir AI platform (or the ability to obtain it within the first year of employment). 
Lifepoint Health is a leader in community-based care and driven by a mission of Making Communities Healthier. Our diversified healthcare delivery network spans 29 states and includes 63 community hospital campuses, 32 rehabilitation and behavioral health hospitals, and more than 170 additional sites of care across the healthcare continuum, such as acute rehabilitation units, outpatient centers and post-acute care facilities. We believe that success is achieved through talented people. We want to create places where employees want to work, with opportunities to pursue meaningful and satisfying careers that truly make a difference in communities across the country.We employ and provide care to people from all walks of life. We are committed to promoting healing, providing hope, preserving dignity and producing value with an inclusive workforce in which diversity is leveraged, respected, and reflective of the patients, family members, customers and team members we serve.

What LifePoint Health employees say

Pay

Benefits

Hours and flexibility

Workplace

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About LifePoint Health

Sourced by ZipRecruiter

Lifepoint Health serves patients, clinicians, communities and partners across the healthcare continuum. Our diversified healthcare delivery network extends from coast to coast, consisting of community hospitals, rehabilitation and behavioral health hospitals, and additional sites of care.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Brentwood, TN, US

Year founded

1999

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