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Remote Deep Learning Engineer Jobs in Tennessee (NOW HIRING)

... engineering pipelines that prepare raw call center operational data from multiple sources for ... Deep expertise in machine learning theory and practice, including supervised learning, unsupervised ...

... engineering pipelines that prepare raw call center operational data from multiple sources for ... Deep expertise in machine learning theory and practice, including supervised learning, unsupervised ...

... engineering pipelines that prepare raw call center operational data from multiple sources for ... Deep expertise in machine learning theory and practice, including supervised learning, unsupervised ...

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs and GBMs. * Familiarity with AI and machine learning concepts, including supervised and unsupervised ...

Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs and GBMs. * Familiarity with AI and machine learning concepts, including supervised and unsupervised ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of FE Civil examination content covering mathematics, probability and statistics ...

FE - Civil Engineering Tutor

Memphis, TN ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of FE Civil examination content covering mathematics, probability and statistics ...

Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs and GBMs. * Familiarity with AI and machine learning concepts, including supervised and unsupervised ...

Showing results 21-40

Remote Deep Learning Engineer information

See Tennessee salary details

$10K

$76.1K

$127.1K

How much do remote deep learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote deep learning engineer in Tennessee is $76,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $126,200.00 per year, depending on experience, location, and employer.

What is a remote deep learning engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.

What are the key skills and qualifications needed to thrive as a remote deep learning engineer?

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

How do remote deep learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

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

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

Senior Power Systems Engineer - Modeling & Analytics (Remote)

ICF

Nashville, TN โ€ข On-site, Remote

$100K - $138K/yr

Full-time

Retirement

Posted 28 days ago


Job description

Title: Senior Power Systems Engineer - Modeling & Analytics

Location: Remote US

Ready to make a difference?

ICF is seeking a Senior Power Systems Engineer to lead a growing team and help shape the future of electric utility solutions through advanced power systems modeling and analytics.

We are a relentlessly client-focused group who are re-imagining, re-designing, and re-engineering the way electric utilities tackle industry problems. Our team is comprised of passionate and innovative people who are constantly looking for ways to provide better quality engineering services for our clients.

Why you'll love working here:

  • Quality of life:Fully remote, flexible schedule, work-life balance

  • Investment of the community:Donation matching, volunteer opportunities

  • Investment in you:Tuition reimbursement, access to professional development resources, 401k matching, Employee Stock Purchase Plan

  • And many, many more(Ask your recruiter for more details!)

The Ideal Candidate

  • Highly motivated engineer who takes pride in delivering exceptional services and ensuring projects are completed accurately and on schedule

  • Proactive team leader who understands how to motivate, direct, and manage the work of others

  • Strong communicator who effectively defines and prioritizes group objectives, trains and mentors individually and collectively, and contributes to a positive team dynamic

  • Demonstrates initiative, self-sufficiency, and the ability to work productively from a home office without direct supervision

  • Committed to continuous learning and process improvement, consistently seeking opportunities to enhance quality and efficiency

  • Embraces new responsibilities and eagerly acquires new skill sets as needed to support evolving project demands.

What you will be doing:

  • Team and client management

    • Leading and managing a small, skilled team in power systems modeling and analytics for utility clients

    • Mentoring and training less experienced engineers in power engineering theories and principles

    • Working toward continuous improvement of job-related engineering, technical and professional knowledge and skills, and overall individual and team performance

    • Project management tasks such as forecasting, tracking hours, budgeting, milestones, scheduling meetings, delegating tasks, etc

    • Interact with prospective clients to demonstrate ICF's expertise and attract new business

    • Develop scopes of work, project timelines, and budget estimates

    • Participate in weekly meetings with clients to deliver project status updates

  • Engineering responsibilities

    • Create, revise, and maintain transmission short circuit models in programs like CAPE and ASPEN

    • Create, revise, and maintain transmission power flow models in programs like PSSE and PSCAD

    • Create, revise, and maintain distribution system modeling in programs like CYME, Synergi, and WindMil

    • Perform Arc Flash analysis of facilities to calculate hazard ratings

    • Analyze transmission line modeling based on LiDAR and 3D models in programs like PLS-CADD

    • Perform voltage imbalance analysis in programs like PSCAD

    • Calculate thermal ampacity ratings for conductors and equipment according to standards such as FAC-008, FERC-881, and relevant IEEE standards

    • Write thorough technical reports summarizing findings of analyses

    • Develop automation scripts to improve the efficiency and accuracy of any and all of the above tasks, using languages such as Python, SQL, and VBA

What you need to have (minimum qualifications):

  • Bachelor's degree in electrical engineering, Power Engineering or related field

  • 8+ years of experience in electrical engineering theories and principles, i.e. transmission and distribution system modeling, short circuit and power flow analysis, arc flash hazard calculations, voltage imbalance studies, and/or thermal ampacity ratings

  • 5+ years of experience working at an electric utility, such as an investor-owned utility, municipal utility, or electric cooperative

What we'd like you to have (preferred qualifications):

  • Master's degree in electrical engineering, Power Engineering or related field

  • 12+ years of experience in electrical engineering theories and principles, i.e. transmission and distribution system modeling, short circuit and power flow analysis, arc flash hazard calculations, voltage imbalance studies, and/or thermal ampacity ratings

  • People management and mentorship experience

  • Experience directing and reviewing the work of others for quality assurance and delivering constructive feedback

  • Knowledge of the practical application of industry standards such as: IEEE, ANSI, NERC and FERC regulations

  • Experience in scripting in Python to automate analyses in power systems softwares

  • Ability to plan and manage assignments and clearly communicate barriers to complete tasks on budget/schedule

  • Initiative to embrace continuous learning toward becoming an expert on the programs and technology you represent

  • Proficiency in computer software tools to model engineering problems, program automation systems, and preparing spreadsheet-based analyses and automation

To learn more about this team and how our grid engineering solutions help electric utilities balance cutting-edge technology with cost-efficiency and reliability > ICF Power Delivery Services

#GEA25

#POWERDELIVERY

#INDEED

#LI-CC1


Bot and Third-Party Applications

Please note that this application must be submitted directly by the applicant for consideration.Failure to do so may result in the application being excluded for consideration.Applicants needing an accommodation for disability or religious purposes in connection with the application process should contactCandidateaccommodation@icf.comfor assistance.

Working at ICF

ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please emailCandidateaccommodation@icf.comand we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more aboutworkplacediscriminationrightsor our benefit offerings which are included in theTransparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance atcandidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.


Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$107,959.00 - $222,072.00Tennessee Remote Office (TN99)