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Hourly Embedded Machine Learning Jobs in Tennessee

SynergisticIT

Machine Learning Engineer

Nashville, TN

Machine Learning And Artificial Intelligence Developer Synergistic IT is a full-service staffing ... Depending on the type of applications, the AI and Client models operate on daily, hourly, down to 1 ...

Navstar

Jr. AI/ML Engineer

Tullahoma, TN

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 ...

Comprehensive Logistics

Line Operator

Spring Hill, TN · On-site

$15.75 - $19.25/hr

... technology, machine learning, and process-driven execution to optimize workflows, eliminate inefficiencies, and ensure flawless delivery. More than a logistics provider, CLI is a true embedded ...

Comprehensive Logistics

Line Operator

Spring Hill, TN · On-site

$15.75 - $19.25/hr

... technology, machine learning, and process-driven execution to optimize workflows, eliminate inefficiencies, and ensure flawless delivery. More than a logistics provider, CLI is a true embedded ...

MAHLE

Machine Operator

Morristown, TN

$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

$70K - $105K/yr

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 ...

Quantium

Insights & Analytics Director

Nashville, TN · On-site

Own senior level relationships within the client's organization, building trust as an embedded ... Experience with AI and machine learning applications in retail analytics, with a genuine passion ...

Crowe LLP

Senior AI Engineer

Nashville, TN · On-site +1

$100K - $138K/yr

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

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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
Sr. Director, Machine Learning Strategy

Sr. Director, Machine Learning Strategy

Dollar General

Goodlettsville, TN

Full-time

Posted 14 days ago

Dollar General rating

4.0

Company rating: 4.0 out of 10

Based on 4,459 frontline employees who took The Breakroom Quiz

39th of 39 rated national retailers

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

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

Education:UNAVAILABLEEmployment Type: FULL_TIME

What Dollar General employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Dollar General

Sourced by ZipRecruiter

What started as a single store is now a 20+ billion dollar Fortune 119 company. With 140,000+ employees and counting, we’re growing fast and so can you. There are endless opportunities for you, including award-winning training programs and career paths in retail, distribution, transportation or corporate. The possibilities are endless!

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Goodlettsville, TN, US

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