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Tensorflow Engineer Jobs in Tennessee (NOW HIRING)

Eliassen Group

Senior AI/ML Engineer

Nashville, TN · Remote

$90 - $100/hr

Senior AI/ML Engineer Anywhere Type: Contract-to-Hire Category: Development Industry: Government ... Strong Python skills with TensorFlow and PyTorch. * Proven AWS expertise including Bedrock, Lambda ...

Jm

Senior Process Engineer

Etowah, TN · On-site

$115K - $158K/yr

Hands-on experience with AI/ML frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch ... project engineering * Proficient in Microsoft Word, Excel, PowerPoint, Outlook, PowerBI

Palnar

AI/ML Architect

Nashville, TN · On-site

$61.50 - $79.25/hr

... as TensorFlow, PyTorch, or scikit-learn. * Experience with designing and implementing end-to-end machine learning pipelines. * Proficiency in data processing, feature engineering, and model ...

HireRight

Senior Software Engineer (Java)

Nashville, TN

$120K - $158K/yr

Exposure to ML/AI libraries (scikit-learn, TensorFlow, PyTorch) and workflows (integrating ML models, working with model APIs, or MLOps tools) * Cloud certifications (AWS Certified Developer, etc.

HireRight

Senior Software Engineer (Java)

Nashville, TN · On-site

$120K - $158K/yr

Exposure to ML/AI libraries (scikit-learn, TensorFlow, PyTorch) and workflows (integrating ML models, working with model APIs, or MLOps tools) * Cloud certifications (AWS Certified Developer, etc.

HireRight

Senior Software Engineer (Java)

Nashville, TN

$120K - $158K/yr

Exposure to ML/AI libraries (scikit-learn, TensorFlow, PyTorch) and workflows (integrating ML models, working with model APIs, or MLOps tools) * Cloud certifications (AWS Certified Developer, etc.

PALNAR

AI/ML Architect

Nashville, TN

$61.50 - $79.25/hr

... as TensorFlow, PyTorch, or scikit-learn. * Experience with designing and implementing end-to-end machine learning pipelines. * Proficiency in data processing, feature engineering, and model ...

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Tensorflow Engineer information

See Tennessee salary details

$30K

$85.3K

$132.1K

How much do tensorflow engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for tensorflow engineer in Tennessee is $85,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,300.00 and $98,500.00 per year, depending on experience, location, and employer.
What cities in Tennessee are hiring for Tensorflow Engineer jobs? Cities in Tennessee with the most Tensorflow Engineer job openings:
Tensorflow Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Nashville, TN • Remote

Other

Posted 19 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply