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Tensorflow Engineer Jobs in Kentucky (NOW HIRING)

Siemens AG

$90 - $162/hr

Working alongside experienced engineers, you'll solve complex technical challenges in a fast-paced ... as PyTorch, TensorFlow, or Scikit-learn * Deep knowledge of LLM-based systems, Agentic AI ...

Stock Group Analytics

$140 - $180/hr

Position Summary AI Engineers are responsible for designing, developing, and deploying machine ... Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn) * Experience with cloud ...

RXinsider LTD.

$150 - $230/hr

About The Role We're looking for a Machine Learning Engineer to design, build, and deploy ... Python, PyTorch, TensorFlow, Scikit-learn, SQL, PostgreSQL, Docker, Kubernetes, AWS, GitHub Actions ...

New

Machine Intelligence Technologies, LLC

$150 - $190/hr

Advanced Python skills with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch). * Proven success ... GCP certifications (e.g., Google Cloud Certified Professional ML Engineer). * Experience with GenAI ...

Nexdew Technologies

$120 - $170/hr

Strong proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). * Experience in building and integrating LLM applications, LangChain, or agentic workflows. * Solid ...

New

Forum Energy Technologies, Inc.

$120 - $180/hr

Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn. * Strong understanding of data structures, algorithms, and software engineering principles. * Experience with data ...

Infosys Limited

$120 - $180/hr

The STG unit brings together Specialist Programmers, Senior Technologists, and Technical Leaders ... like TensorFlow or PyTorch. Design, develop, and deploy generative AI models for various ...

Invesco Ltd.

$130 - $180/hr

Practical experience building and deploying AI/ML models using frameworks such as Python, TensorFlow, PyTorch, scikit-learn, or Azure AI services. * Software Engineering: Strong programming skills in ...

Neura Market

$150 - $200/hr

Today, over 1M+ developers, including those from half the Fortune 100, use Roboflow's machine ... Familiarity with common data processing and computer vision frameworks (e.g., OpenCV, TensorFlow ...

New

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How much do tensorflow engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for tensorflow engineer in Kentucky is $81,667.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $94,200.00 per year, depending on experience, location, and employer.

What cities in Kentucky are hiring for Tensorflow Engineer jobs?

Cities in Kentucky with the most Tensorflow Engineer job openings:

Tensorflow Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Covington, KY • Remote

Full-time

Re-posted 15 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