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Remote Tensorflow Developer Jobs in Knoxville, TN

Remote Tensorflow Developer information

See Knoxville, TN salary details

$16

$50

$78

How much do remote tensorflow developer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for remote tensorflow developer in Knoxville, TN is $50.43, according to ZipRecruiter salary data. Most workers in this role earn between $38.56 and $61.73 per hour, depending on experience, location, and employer.

What is a remote Tensorflow developer?

A Remote TensorFlow Developer job involves designing, implementing, and optimizing machine learning models using TensorFlow while working from a remote location. Developers in this role typically collaborate with data scientists, engineers, and product teams to build AI-driven applications and improve model performance. Responsibilities may include data preprocessing, model training, deployment, and fine-tuning for scalability and efficiency. Strong knowledge of deep learning, neural networks, and cloud platforms is often required.

What are some typical challenges faced by remote Tensorflow developers, and how are these addressed?

Remote Tensorflow Developers often face challenges such as collaborating across different time zones, managing large datasets, and keeping up with rapidly changing machine learning technologies. These challenges are typically addressed through robust communication tools (like Slack or Zoom), using version control systems for code collaboration, and adopting efficient cloud-based workflows for data and model sharing. Teams may also conduct regular virtual stand-ups and knowledge-sharing sessions to stay aligned on projects and share learnings. Engaging in continuous learning and attending online workshops or conferences also helps remote developers stay updated and effective in their roles.

What are the key skills and qualifications needed to thrive as a remote Tensorflow developer, and why are they important?

To thrive as a Remote Tensorflow Developer, you need deep knowledge of machine learning concepts, strong proficiency in Python programming, and hands-on experience with Tensorflow framework. Experience with cloud platforms (such as AWS, GCP, or Azure), model deployment, and relevant Tensorflow Developer certification are highly valuable. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help developers stand out. These qualities are crucial for building robust machine learning solutions, efficiently collaborating with distributed teams, and delivering high-impact results in a remote setting.

What are popular job titles related to Remote Tensorflow Developer jobs in Knoxville, TN?

For Remote Tensorflow Developer jobs in Knoxville, TN, the most frequently searched job titles are:

What job categories do people searching Remote Tensorflow Developer jobs in Knoxville, TN look for?

The top searched job categories for Remote Tensorflow Developer jobs in Knoxville, TN are:

Distribution Grid Modeling and Analytics - Engineer Staff III

Electric Power Research Institute, Inc.

Knoxville, TN • On-site, Remote

$92K - $101K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Job Title:Distribution Grid Modeling and Analytics - Engineer Staff IIILocation:Knoxville, TNJob Summary and Description:

Utilities around the world are transforming their distribution systems to support electrification, distributed energy resources (DER), resilience, decarbonization, and growing operational complexity. As planning and operations become increasingly data-driven, utilities need advanced analytics, high-fidelity modeling, artificial intelligence, and trusted data to maintain a reliable, resilient, and efficient grid.

The EPRI Distribution Operations and Planning team leads collaborative research that advances the state of the art in distribution system planning and operations. Through the development of innovative methodologies, simulation tools, analytics, and field-validated solutions, the team addresses challenges spanning grid modernization, DER integration, protection, resilience, operations, and emerging technologies.

This position conducts research in advanced power system modeling, simulation, AI, machine learning, and measurement-based analytics. The successful candidate will develop and apply advanced analytical methods that combine power system models with data-driven approaches, leveraging utility data to improve planning, operations, and protection while translating cutting-edge research into practical solutions for the electric utility industry.

Key Responsibilities:

  • Makes significant contributions to advanced modeling, simulation, and analytics projects

  • Conducts independent research activities with guidance and contributes to development of new tools, methodologies, and research approaches to address industry challenges

  • Evaluate emerging technologies and applications through analytical and field-based studies

  • Contribute to technical publications, conference papers, webinars, and industry presentations

  • Support proposal development and strategic research planning activities

  • Engage with utility members to identify challenges, transfer research outcomes, and support technology adoption

  • Contribute to the development and evaluation of AI-enabled tools and analytics applications for utility planning and operations

  • Develop and apply repeatable processes for measurement data cleaning, quality assessment, and integration

  • Conduct model verification and validation activities using utility measurement data

  • Assess the applicability, limitations, and performance of emerging AI technologies within utility environments

Ideal candidate:

  • Strong knowledge of power system fundamentals, specifically distribution systems

  • Demonstrated experience developing software tools and analytical applications using Python, C#, Delphi, Java, or similar languages

  • Experience with distribution system model development, validation, and verification

  • Experience cleaning and utilizing utility measurement data from AMI, SCADA, and other field sources

  • Proven ability to conduct power systems analytical studies, with an emphasis on distribution modeling and simulation

  • Demonstrated experience with one or more industry modeling and simulation tools such as OpenDSS, CYME, Synergi, Milsoft, PowerFactory, EMTP, PSCAD

  • Experience applying AI, machine learning, or advanced analytics techniques to power system applications

  • Familiarity with modern AI and data science frameworks such as TensorFlow, PyTorch, Scikit-Learn, LLM-based systems, agentic workflows, or related technologies is desirable

  • Experience modeling high penetrations of DER, inverter-based resources, electrification technologies, and flexible loads

Preferred Education:

  • Bachelor's degree in a technical field or equivalent experience

  • Preferred MS or PhD in Electrical Engineering with Power System emphasis

  • Minimum 2-3 years of engineering, utility, consulting, research, or equivalent experience preferred.

Location:

  • This role is based out of our Knoxville, TN office. Remote work considered for the right candidate.

The salary range for this position is $92,000 USD to $101,000 USD annually.This salary range is an estimate, and the actual salary may vary based on various factors, including without limitation applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location.This role is eligible to participate in EPRI's annual incentive program. The amount of incentive varies and is subject to the terms and conditions of the plan.This role is eligible to participate in EPRI's standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, STD/LTD and paid family leave, life and accident insurance, paid time off (flexible vacation, sick leave, and holiday pay).EPRI participates in E-Verify, an online system operated jointly by the Department of Homeland Security and the Social Security Administration (SSA). EPRI uses the system to check the work status of new hires by comparing information from the employee's I-9 form against SSA and Department of Homeland Security databases.EPRI is an equal opportunity employer. EEO/AA/M/F/VETS/DisabledTogether . . . Shaping the Future of Energy.www.epri.com