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Python Ai Jobs in Kentucky (NOW HIRING)

GE Aerospace

Sr AI Data Engineer

Madisonville, KY

$159K/yr

Build ingestion and transformation pipelines in Python and SQL using AWS services -- Glue, Lambda, Step Functions, S3, Athena, OpenSearch, Neptune -- and AI services such as Bedrock and Bedrock ...

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How much do python ai jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for python ai in Kentucky is $50.91, according to ZipRecruiter salary data. Most workers in this role earn between $41.97 and $57.84 per hour, depending on experience, location, and employer.

What is a Python AI job?

A Python AI job involves developing, implementing, and optimizing artificial intelligence models using Python. Professionals in this role work with machine learning frameworks like TensorFlow, PyTorch, and scikit-learn to build automation, predictive analytics, and AI-driven solutions. Responsibilities may include data preprocessing, model training, fine-tuning algorithms, and deploying AI models into production. These roles are common in industries like healthcare, finance, and tech, where AI is used for tasks such as natural language processing, computer vision, and recommendation systems.

What are the key skills and qualifications needed to thrive in the Python Ai position, and why are they important?

To thrive as a Python AI professional, you need strong programming skills in Python, a solid understanding of machine learning algorithms, data structures, and often a degree in computer science or a related field. Proficiency with libraries like TensorFlow, PyTorch, scikit-learn, and experience using version control systems such as Git are typically required, while certifications in AI or data science can be advantageous. Analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with multidisciplinary teams. These competencies enable the development, deployment, and optimization of AI-driven solutions in a fast-evolving technical landscape.

What are the typical daily responsibilities of a Python AI professional?

As a Python AI professional, your day-to-day responsibilities usually involve designing, developing, and testing machine learning models, cleaning and analyzing data, and implementing data pipelines. You’ll likely collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into real-world applications. Regular tasks also include code review, documentation, and participating in team meetings to review progress and brainstorm solutions to technical challenges. These activities not only foster collaboration but also ensure high-quality, scalable AI products.
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Python Ai jobs near you
Infographic showing various Python Ai job openings in Kentucky as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $105,902 per year, or $50.9 per hour.

Artificial Intelligence (AI) Engineer

Purple Drive Technologies

Louisville, KY • On-site

$110K - $132.10K/yr

Full-time

Posted 16 days ago

Job description

Overview:
Job Summary:
We are seeking an Applied Artificial Intelligence (AI) Engineer to design, develop, and deploy AI-driven solutions that transform digital processes and enhance decision-making capabilities. The ideal candidate combines strong AI/ML engineering expertise with practical application experience in real-world digital transformation scenarios.
Key Responsibilities:
  • Design, develop, and implement AI/ML models and algorithms for business applications.
  • Apply AI techniques such as machine learning, deep learning, natural language processing (NLP), computer vision, and generative AI to solve practical problems.
  • Collaborate with cross-functional teams (data scientists, software engineers, and product managers) to integrate AI capabilities into digital platforms and enterprise systems.
  • Develop and optimize data pipelines, model training workflows, and deployment strategies using MLOps best practices.
  • Evaluate emerging AI technologies and frameworks for potential adoption in digital transformation projects.
  • Conduct performance analysis, fine-tuning, and model interpretability testing.
  • Document design and implementation details to ensure maintainability and compliance.
  • Work closely with cloud and DevOps teams to operationalize AI models at scale.
Technical Skills:
  • Languages: Python, Java, or C++
  • Frameworks/Libraries: TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers
  • MLOps Tools: MLflow, Kubeflow, AWS Sagemaker, Azure ML, or GCP Vertex AI
  • Data Handling: SQL, NoSQL, Spark, Pandas, NumPy
  • Cloud Platforms: AWS / Azure / Google Cloud (AI & Data Services)
  • Version Control: Git, GitHub/GitLab
  • Optional (nice-to-have): LangChain, LlamaIndex, RAG pipelines, Generative AI (LLMs, Diffusion Models)
Soft Skills:
  • Strong analytical and problem-solving abilities
  • Ability to translate business requirements into technical AI solutions
  • Excellent communication and collaboration skills
  • Passion for continuous learning and emerging AI technologies

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