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Hourly Embedded Machine Learning Jobs in Tennessee

Type One Energy

Real-Time Engineer

Knoxville, TN · On-site

Experience deploying machine learning algorithms in real-time or embedded environments. * Familiarity with high-availability architectures. We offer : In addition to a basic salary and yearly bonus ...

Comprehensive Logistics

IT Technician

Spring Hill, TN · On-site

CLI is the most advanced 3PL with cutting edge technology and machine learning to keep supply ... More than a logistics provider, CLI is a true embedded partner - ensuring your supply chain moves ...

Denso

Process Engineer 3

Maryville, TN

Utilizes advanced machine learning and computer vision techniques to enhance production quality ... Familiarity with real-time operating systems and embedded systems * Knowledge of production ...

Denso

Process Engineer 3

Maryville, TN · On-site

Utilizes advanced machine learning and computer vision techniques to enhance production quality ... Familiarity with real-time operating systems and embedded systems * Knowledge of production ...

MAHLE

Machine Operator

Morristown, TN · On-site

$14.75 - $17.75/hr

Shift premium up to $2/hr above hourly rate depending on shift * Double time on Sundays (Varies by ... learning and development opportunities. Exciting assignments and personalized support for your ...

MAHLE

Machine Operator

Morristown, TN · On-site

$14.75 - $17.75/hr

Shift premium up to $2/hr above hourly rate depending on shift * Double time on Sundays (Varies by ... learning and development opportunities. Exciting assignments and personalized support for your ...

University of Rochester

$29.33 - $41.06/hr

Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect ... machine learning capabilities. Works in partnership with team members to solve complex problems ...

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All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in Tennessee

Hourly Embedded Machine Learning information

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

To thrive as an Hourly 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 engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

How does an Hourly Embedded Machine Learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What is an Hourly Embedded Machine Learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

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

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

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 are popular job titles related to Hourly Embedded Machine Learning jobs in Tennessee? For Hourly Embedded Machine Learning jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Tennessee look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Tennessee are:
What cities in Tennessee are hiring for Hourly Embedded Machine Learning jobs? Cities in Tennessee with the most Hourly Embedded Machine Learning job openings:
Hourly Embedded Machine Learning jobs near you
Infographic showing various Hourly Embedded Machine Learning job openings in Tennessee as of July 2026, with employment types broken down into 1% Internship, 90% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

SR DIRECTOR, MACHINE LEARNING

∙ Elijah House Foundation

Goodlettsville, TN • On-site

$180 - $280/hr

Other

Posted 6 days ago

Job description

Company Overview

General Summary: This role exists to build, scale, and operationalize Dollar General’s enterprise machine learning capabilities that directly drive measurable business outcomes. The Senior Director owns the ML strategy, platforms, and teams required to move from isolated models to production-grade, governed, reusable ML systems. This leader ensures ML investments are aligned to enterprise priorities, value realization, and responsible AI standards.

Job Details Duties and Responsibilities
  • Lead enterprise machine learning strategy spanning applied ML, MLOps, experimentation, and platform capabilities aligned to business priorities.
  • Build, mentor, and scale high-performing ML engineering and data science leaders across centralized and embedded delivery models
  • Own end-to-end lifecycle of ML systems from problem framing and modeling through deployment, monitoring, and continuous optimization
  • Partner with product, IT, security, legal, and business leaders to ensure governed, responsible, and scalable ML adoption.
  • Establish standards for model evaluation, experimentation, monitoring, and value measurement tied to financial and operational impact
Qualifications Knowledge, Skills and Abilities
  • Deep expertise in machine learning systems, model development, and production ML architectures
  • Strong understanding of MLOps, model monitoring, experimentation, and CI/CD for ML
  • Proven ability to translate business problems into scalable ML solutions with measurable impact
  • Experience leading senior technical managers and principal-level engineers
  • Strong judgment around responsible AI, model risk, data privacy, and governance
  • Ability to influence executive stakeholders and align cross-functional teams
  • Experience operating ML platforms in cloud-native environments
  • Excellent communication skills bridging technical and non-technical audiences
Work Experience and/or Education
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field
  • Advanced degree (Master’s / MBA) in a quantitative or AI-related discipline preferred
  • 10+ years of experience in machine learning, data science, or applied AI roles
  • 5+ years leading ML engineering or data science teams at scale
  • Demonstrated experience deploying and operating production ML systems

Experience in retail, e-commerce, supply chain, or large-scale consumer data environments preferred

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