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Tensorflow Engineer Jobs in Kentucky (NOW HIRING)

Purple Drive Technologies

AI Engineer

Louisville, KY · On-site

Leverage frameworks such as TensorFlow, PyTorch, or Scikit-learn for model development and ... Strong programming skills in Python , Java , or C# . * Hands-on experience with AI/ML frameworks ...

Purple Drive Technologies

AI Engineer

Louisville, KY · On-site

Strong programming skills in Python (preferred), with experience in libraries such as TensorFlow, PyTorch, Scikit-learn. * Proficiency in machine learning algorithms (classification, regression ...

Trackmind

$92K - $127K/yr

... TensorFlow, Hugging Face, Scikit-learn, Pandas, and NumPy • Implement vector search and semantic retrieval solutions using FAISS, Pinecone, or similar technologies • Fine-tune, evaluate, and ...

Xometry

Senior Machine Learning Engineer

Lexington, KY · Hybrid

$103K - $142K/yr

... PyTorch or Tensorflow) * Successful candidates in this role need to be able to bridge ... An engineer with a self-driven attitude who can own problems and deliver solutions * Strong ...

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$28.7K

$81.7K

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How much do tensorflow engineer jobs pay per year?

As of Jun 10, 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

AI Engineer

Purple Drive Technologies

Louisville, KY • On-site

Full-time

Posted 18 days ago

Job description

Overview:
ob Summary:
We are seeking a highly skilled AI Applied Engineer to design, develop, and implement innovative digital solutions powered by Artificial Intelligence. The ideal candidate will bridge the gap between data science and engineering-transforming AI models into scalable, production-ready applications that deliver real-world business impact.
Key Responsibilities:
  • Design, develop, and deploy AI and Machine Learning (ML) solutions for digital transformation initiatives.
  • Collaborate with data scientists to operationalize AI models using MLOps best practices.
  • Integrate AI-driven components into existing enterprise systems and cloud platforms.
  • Build scalable data pipelines to support model training, testing, and deployment.
  • Leverage frameworks such as TensorFlow, PyTorch, or Scikit-learn for model development and optimization.
  • Work with cloud-based AI services (Azure AI, AWS SageMaker, Google Vertex AI, etc.) for large-scale deployments.
  • Apply Natural Language Processing (NLP), Computer Vision, and Predictive Analytics techniques to solve complex business challenges.
  • Partner with cross-functional teams to identify opportunities for AI automation and digital innovation.
  • Ensure solutions meet performance, scalability, and ethical AI standards.
  • Maintain detailed technical documentation, conduct code reviews, and mentor junior engineers.
Required Skills & Qualifications:
  • Strong programming skills in Python, Java, or C#.
  • Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn).
  • Experience deploying AI models into production environments.
  • Knowledge of MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).
  • Familiarity with data engineering tools and ETL pipelines.
  • Understanding of cloud platforms (Azure, AWS, or GCP) and their AI/ML services.
  • Proven experience in digital transformation or intelligent automation projects.
  • Strong analytical and problem-solving abilities with a focus on innovation.
  • Excellent collaboration and communication skills.
Nice to Have:
  • Experience in Generative AI (LLMs, Prompt Engineering, LangChain, RAG frameworks).
  • Exposure to Edge AI, IoT, or Real-time analytics.
  • Familiarity with API integration and microservices architecture.
  • Knowledge of Responsible AI principles and model governance.
Education:
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.

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