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Hourly Embedded Machine Learning Jobs in Tennessee

The program combines proprietary clearinghouse data, machine learning, and embedded finance to solve one of the most persistent cash flow problems in healthcare. This role is ideal for a pragmatic ...

The program combines proprietary clearinghouse data, machine learning, and embedded finance to solve one of the most persistent cash flow problems in healthcare. This role is ideal for a pragmatic ...

The program combines proprietary clearinghouse data, machine learning, and embedded finance to solve one of the most persistent cash flow problems in healthcare. This role is ideal for a pragmatic ...

The program combines proprietary clearinghouse data, machine learning, and embedded finance to solve one of the most persistent cash flow problems in healthcare. This role is ideal for a pragmatic ...

The program combines proprietary clearinghouse data, machine learning, and embedded finance to solve one of the most persistent cash flow problems in healthcare. This role is ideal for a pragmatic ...

AI Engineer

Arnold Air Force Base, TN · On-site

$85K - $115K/yr

L06 (OA0643) - L07 (OA0741) Salary Range or Starting Hourly Rate: Grade 06: $85,000 - $115,000 ... Utilize machine learning tools to select features, build, and optimize classifiers that generate ...

AI Engineer

Arnold Air Force Base, TN · On-site

$85K - $115K/yr

L06 (OA0643) - L07 (OA0741) Salary Range or Starting Hourly Rate: Grade 06: $85,000 - $115,000 ... Utilize machine learning tools to select features, build, and optimize classifiers that generate ...

AI Engineer

Arnold Air Force Base, TN · On-site

$85K - $115K/yr

L06 (OA0643) - L07 (OA0741) Salary Range or Starting Hourly Rate: Grade 06: $85,000 - $115,000 ... Utilize machine learning tools to select features, build, and optimize classifiers that generate ...

Lead projects focused on training and building machine learning (ML) models. Develop ML models for ... Salary The position pays a base hourly rate of $20.18 per hour plus production bonuses. The ...

Machine Technician Jackson, TN Compensation Includes * Starting Pay Rate of $25 - 28/hours * Paid ... Monitor bags being run, making sure hourly samples are taken in order to inspect quality and catch ...

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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 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:
Director of Underwriting

Director of Underwriting

Office Ally

Nashville, TN

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

About Us

At Office Ally, we've been revolutionizing healthcare administration since our inception. What started as a clearinghouse focused on simplifying insurance claims processing for healthcare providers has grown into a full-suite healthcare technology company. We offer a range of affordable, cloud-based revenue cycle management solutions –from eligibility verification and claims management to revenue recovery and payment processing –that help healthcare organizations of all sizes streamline operations and reduce administrative burdens so they can focus on what matters most: patient care.

In April 2026, Office Ally acquired Jopari Solutions, Inc, a leader in straight-through electronic claims processing for Property & Casualty (P&C), Commercial, and Government healthcare. Jopari brings deep industry expertise and innovative enterprise payment solutions that are transforming how disbursements are handled across the insurance ecosystem. Together, we are expanding our capabilities across the full healthcare transaction lifecycle, connecting claims, payments, and data exchange to deliver a more seamless and efficient experience for providers, payers, and partners.

At the core of our company are four key values that guide our mission and work:

  • Ownership: We take pride in our responsibilities, driving results and taking accountability for the success of our projects.
  • Empowerment: We believe in giving our team the autonomy and support to make decisions that lead to innovative solutions.
  • Innovation: We continuously seek new and better ways to improve healthcare administration, embracing creativity and forward-thinking technology.
  • Transparent Communication: Open, honest communication is at the heart of our collaborations, internally and with our clients, ensuring alignment and trust.

About the Role

Office Ally is hiring our first Director of Underwriting to build and run the credit function for OA Advance, our new working capital product. Reporting to the SVP and GM of Payments, this is a high-impact, high-autonomy founding role with full ownership of underwriting policy, decisioning, portfolio monitoring, and the operational discipline required to extend working capital responsibly and profitably.

OA Advance evaluates submitted insurance claims for likelihood of payment and advances a percentage of expected reimbursement directly to the practice's bank account. When the payer remits payment and sends an 835, we auto-recoup the advance plus program fees. The program combines proprietary clearinghouse data, machine learning, and embedded finance to solve one of the most persistent cash flow problems in healthcare.

This role is ideal for a pragmatic, business-oriented credit professional who thrives building a function from zero, enjoys working at the intersection of healthcare revenue cycle and commercial lending disciplines, and wants to be deeply embedded in the operations of a growth-stage healthcare technology company.

What You'll Do

Underwriting Decisions & Workflow

  • Own the practice-level underwriting decision for OA Advance applicants — auto-approve oversight, manual review queue, etc.
  • Configure and operate the underwriting workbench, including bureau pulls, UCC searches, OFAC screening, KYB verification, and continuous monitoring alerts.
  • Establish and maintain the manual review playbook, decision documentation standards, and audit trail practices required to scale the program responsibly.

Policy Ownership & Calibration

  • Take ownership of the underwriting policy and pressure-test every threshold against historical Office Ally clearinghouse data.
  • Lead quarterly policy reviews; recommend threshold adjustments based on vintage analysis.
  • Partner with the AI/ML team to refine the practice-level risk score and validate weights against portfolio performance.

Portfolio Monitoring & Risk Management

  • Establish vintage analysis, concentration monitoring, and active portfolio monitoring processes.
  • Monitor portfolio-level KPIs including approval rate, auto-decision rate, default rate, loss given default, and time-to-decision.
  • Triage continuous monitoring alerts (UCC filings, NPI status changes, claim volume drops, denial rate increases).
  • Identify policy and process gaps proactively — before regulators or losses do.

Compliance & Regulatory

  • Serve as the credit officer of record for OA Advance — the person who can defend a decision in front of an auditor, an examiner, or an executive.
  • Partner with Legal and Compliance on fair lending, disparate impact testing, and the PHI firewall between underwriting data and patient clinical data.
  • Own the audit-readiness posture for the function: documented policy, immutable decision logs, reason code mapping, and reviewer accountability.

Vendor, Platform & Cross-Functional Partnership

  • Manage the relationship with the underwriting platform vendor (TBD selected partner), including SLA performance, monitoring rule customization, and renewal terms.
  • Partner closely with the AI/ML team (claim-level scoring), Infrastructure team (data pipeline and rules engine), Product (program economics), and Sales/Operations (applicant pipeline).
  • Translate underwriting performance and risk posture into clear executive-level reporting.

What You'll Need

  • 7+ years of underwriting experience, with at least 3 years in commercial, asset-based, factoring, or specialty business credit (not exclusively consumer).
  • Demonstrated ownership of a credit policy — you have written one, defended it, and revised it based on portfolio performance.
  • Working knowledge of ECOA / Regulation B, FCRA, OFAC screening, and adverse action requirements.
  • Fluency with the Expected Loss framework (PD × LGD × EAD) and the ability to translate it for non-credit stakeholders.
  • Hands-on experience operating an underwriting platform end-to-end (MidDesk, TurnKey Lender, HES LoanBox, or comparable factoring/lending workbench).
  • Comfort with data: you can pull a query, read a model output, and challenge a data scientist on whether a score makes sense.
  • Excellent written communication — you will be writing policy, decision rationales, and executive memos.
  • Highly organized, self-directed, and comfortable building a function from zero rather than inheriting a mature one.
  • Problem-solving skills and a business-practical mindset are paramount.

Nice to Have

  • Bachelor's degree
  • Direct healthcare experience: 837/835 transaction sets, ERA reconciliation, payer mix analysis, denial code taxonomy, and the NPI registry.
  • Experience underwriting medical practices or healthcare receivables specifically (e.g., at a medical factor or healthcare fintech).
  • Familiarity with UCC Article 9, security interests in healthcare receivables, and Medicare/Medicaid anti-assignment rules.
  • Prior role in a startup, new product launch, or "founding underwriter" capacity — comfort with ambiguity.
  • Track record of building and managing a small underwriting team.
  • Prior experience in a PE-backed or growth-stage company environment.

Travel Requirements

  • This role requires travel up to 4x per year, which may include vendor visits, team gatherings, industry conferences, or company events.
  • Travel will typically be scheduled in advance and supported by the company.

Pay Transparency

Office Ally is committed to fair and equitable compensation practices in alignment with pay transparency laws. Compensation for this position may vary based on individual skills, experience, and location. In addition to base pay, employees may be eligible for performance-based bonuses and a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) with company match, paid time off, and other benefits. Actual compensation will be determined considering the candidate's qualifications, relevant experience, and internal equity.

Office Ally Pay Transparency
$165,000—$180,000 USD

Why You'll Love Working at Office Ally

At Office Ally, your work has a direct impact on healthcare providers and their ability to deliver exceptional care. We're driven by a mission to simplify healthcare administration, making it easier for providers to focus on what they do best—helping patients. As an Office Ally employee, you'll be at the heart of our efforts to deliver exceptional service and software solutions to our clients in the healthcare space.

EEO Note

Office Ally is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.