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Manager Remote Machine Learning Engineer Jobs in Tennessee

Senior Data Engineer

Franklin, TN · Remote

$102K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote-USA Revecore is embarking on re-architecting and modernizing its core platform. The Data ... This team is composed of Data Engineering, Analytics Engineering, Data Science and Machine Learning ...

Senior DevOps Engineer (US REMOTE)

Brentwood, TN · Remote

$140K - $170K/yr

  • Medical

  • Dental

  • Retirement

Build and manage containerized applications * Provision and support configuration of relational ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

NonProfit Finance Manager Reports to: Chief Administrative Officer Location: Remote | Full-time, ... Contribute to a culture of accountability, learning, and continuous improvement How We'll Evaluate ...

DevOps Engineer

Tullahoma, TN · Remote

$45.75 - $62.50/hr

  • Medical

  • Retirement

... including remote work, mentoring and performance incentives. Arcarithm is currently seeking top ... Manage Linux servers and virtual machines, including installation, configuration, and maintenance.

Director, AI Engineering - Remote

Brentwood, TN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Manager the creation of reference architectures for AI-powered applications that serve as reusable ... machine learning. * Architect healthcare-specific AI solutions with expertise in health data ...

AWS Certified AI Practitioner (Remote)

Nashville, TN · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Support the development and implementation of Amazon SageMaker-based machine learning pipelines for ... Proficiency in scripting or programming languages such as Python for ML model development, AWS ...

AWS Certified AI Practitioner (Remote)

Nashville, TN · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Support the development and implementation of Amazon SageMaker-based machine learning pipelines for ... Proficiency in scripting or programming languages such as Python for ML model development, AWS ...

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

Showing results 21-40

Manager Remote Machine Learning Engineer information

What is a manager remote machine learning engineer?

A Manager Remote Machine Learning Engineer is a leadership role responsible for overseeing a team of machine learning engineers who work remotely. They manage the development, deployment, and optimization of machine learning models and ensure that projects align with organizational goals. In addition to technical expertise, this manager focuses on remote team collaboration, communication, and productivity. They often coordinate workflows, mentor team members, and act as a bridge between technical teams and business stakeholders.

How does a manager remote machine learning engineer typically balance team leadership with hands-on technical responsibilities?

A Manager Remote Machine Learning Engineer often splits time between leading and mentoring a distributed team and actively contributing to machine learning projects. While overseeing project timelines, conducting code reviews, and setting technical direction are key leadership tasks, managers also stay involved in model development and troubleshooting to maintain technical expertise. Effective communication and clear documentation are crucial, as remote teams rely on these to collaborate efficiently across different time zones. Balancing these responsibilities requires strong organizational skills and the ability to prioritize both people management and technical deliverables.

What are the key skills and qualifications needed to thrive as a manager remote machine learning engineer, and why are they important?

To thrive as a Manager Remote Machine Learning Engineer, strong expertise in machine learning algorithms, programming (Python, R), and a degree in computer science or a related field are essential, along with proven leadership experience. Familiarity with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and project management tools is typically required, as well as certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Outstanding communication, team leadership, and problem-solving skills help foster collaboration and drive remote teams toward project goals. These capabilities are vital for effectively managing distributed teams, delivering robust AI solutions, and ensuring project success in a remote environment.

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

AspectManager Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience in ML engineeringBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, collaborative teams, focus on ML model deploymentRemote or on-site, data analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis, modeling, research tasks

The Manager Remote Machine Learning Engineer oversees ML projects and teams, focusing on deployment and management, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

Can a manager remote machine learning engineer work remotely?

Yes, a manager remote machine learning engineer can work remotely, as many companies offer remote positions for this role. Success in remote work often depends on strong communication skills, familiarity with collaboration tools, and the ability to manage projects independently.

What are the most commonly searched types of Remote Machine Learning Engineer jobs in Tennessee?

The most popular types of Remote Machine Learning Engineer jobs in Tennessee are:

What are popular job titles related to Manager Remote Machine Learning Engineer jobs in Tennessee?

For Manager Remote Machine Learning Engineer jobs in Tennessee, the most frequently searched job titles are:

What cities in Tennessee are hiring for Manager Remote Machine Learning Engineer jobs?

Cities in Tennessee with the most Manager Remote Machine Learning Engineer job openings:

Senior Data Engineer

Revecore

Franklin, TN • Remote

$102K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Revecore rating

8.1

Company rating: 8.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

Start your next chapter atRevecore! For over 25 years,Revecorehas been at the forefront of specialized claims management, helping healthcare providers recover meaningful revenue to enhance quality patient care in their communities.We'repowered by people, driven by technology, and dedicated to our clients and employees. Ifyou'relooking for a collaborative and diverse culture witha great work/life balance, look no further.

RevecorePerks:

  • We offer paid training and incentive plans
  • Our medical, dental, vision, and life insurance benefits are available from the first day of employment
  • We enjoy excellent work/life balance
  • Our Employee Resource Groups build community and foster a culture of belonging and inclusion
  • We match 401(k) contributions
  • We offer career growth opportunities
  • We celebrate 12 paid holidays and generous paid time off

Location:Remote-USA

Revecore is embarking on re-architecting and modernizing its core platform. The Data Technology at Revecore is empowering the business in unlocking new opportunities by integrating data and machine learning across our products and business functions. This team is composed of Data Engineering, Analytics Engineering, Data Science and Machine Learning (ML) Engineering specializations.

The Senior Data Engineer will join the Technology function, solving complex data problems for the Revecore Data Platform. The ideal candidate is capable of contributing to platform, architecture, and automation best practices, while also diving deep into specific areas and finding the best path forward. You are expected to pave the path for the data teams around data ingestion, data pipelines and data operations. You will be responsible for building a modern data lakehouse platform that will transform Revecore and its capabilities.

What You'll Do

  • Accountable for the implementation and quality of the data platforms (availability, reliability, resilience, security, etc.) and adherence to consistent standards for engineering excellence.
  • Improve the quality of the engineering practice, and the quality of the domain's output.
  • Design and develop scalable, maintainable, and reliable data pipelines.
  • Work directly with other Data Engineers to understand their needs and develop tooling and automation to improve developer efficiency.
  • Monitor data systems and performance and look for ways to drive down our warehouse and infrastructure costs.
  • Proactively research and understand industry trends on various components of the data platform.

Technical Requirements

  • Strong experience with Azure Cloud services is required, including hands-on work with Azure Synapse, Azure Data Lake Storage Gen2, Azure DevOps Pipelines, and Power BI.
  • Proven ability to design and build scalable ELT pipelines, data lakes, and data warehouse solutions using modern tools such as Snowflake, dbt, and Airflow.
  • Deep expertise in Python and SQL is required.
  • Strong proficiency in C#, with experience maintaining and enhancing complex, homegrown codebases used for data orchestration, transformation, file movement, and delivery. Familiarity with .NET Framework and .NET Core is essential.
  • Ability to bridge legacy systems with modern cloud-native architectures, contributing to platform modernization efforts.
  • Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) and CI/CD best practices for data platforms.
  • Solid understanding of the data software development lifecycle (SDLC) and deployment automation workflows.
  • Bachelor's or Master's degree in computer science or equivalent experience.

Work at Home Requirements:

  • A quiet, distraction-free environment to workfrom inyour home.
  • A secure internet connection isrequired.
  • Home internet with speeds >20 Mbps for downloads and >10 Mbps for uploads.
  • The workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive.

Revecoreis an equal opportunity employer that does not discriminate based on race, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin, age, disability status, veteran status, genetic information, or any other legally protected status.
We believe that a diverse workforce fosters innovation and creativity, enriches our culture, and enables us to better serve the needs of our clients and communities. We welcome and encourage individuals of all backgrounds, perspectives, and abilities to apply.

Mustresidein the United Stateswithin one of the states listed below:

Alabama, Arkansas, Delaware, Florida, Georgia, Iowa, Illinois, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Maine, Maryland, Michigan, Minnesota, Missouri, Mississippi, Montana, North Carolina, Nebraska, New Hampshire, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Wisconsin, and West Virginia


What Revecore employees say

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