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Hugging Face Jobs in Kentucky (NOW HIRING)

Trackmind

$49 - $63.25/hr

... Hugging Face, Scikit- learn, Pandas, NumPy ✔️ REST API development using FastAPI or Flask ✔️ Cloud deployment experience on AWS, Azure, or GCP ✔️ Strong knowledge of Docker, Kubernetes ...

Humana

AI Technical Product Manager

Louisville, KY

$160K - $185K/yr

Design and co-develop working prototypes and production-ready components using leading AI/ML tools and platforms (e.g., Python, TensorFlow, PyTorch, Hugging Face, LangChain, Azure AI, OpenAI)

Humana

AI Technical Product Manager

Louisville, KY · On-site

$160K - $185K/yr

Design and co-develop working prototypes and production-ready components using leading AI/ML tools and platforms (e.g., Python, TensorFlow, PyTorch, Hugging Face, LangChain, Azure AI, OpenAI)

Humana

AI Technical Product Manager

Louisville, KY · On-site

$160K - $185K/yr

Design and co-develop working prototypes and production-ready components using leading AI/ML tools and platforms (e.g., Python, TensorFlow, PyTorch, Hugging Face, LangChain, Azure AI, OpenAI)

Humana, Inc.

AI Technical Product Manager

Louisville, KY · On-site

$160K - $185K/yr

Design and co-develop working prototypes and production-ready components using leading AI/ML tools and platforms (e.g., Python, TensorFlow, PyTorch, Hugging Face, LangChain, Azure AI, OpenAI)

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Hugging Face information

See Kentucky salary details

$7

$13

$18

How much do hugging face jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for hugging face in Kentucky is $13.43, according to ZipRecruiter salary data. Most workers in this role earn between $11.25 and $15.87 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, software developers, and educators, are likely to persist despite AI advancements. These roles often involve emotional intelligence, nuanced decision-making, and specialized skills that are difficult for AI to replicate. Continuous learning and adaptability are essential for job security in an evolving AI landscape.

What job makes $10,000 a month without a degree?

High-paying roles that can earn $10,000 a month without a degree include skilled trades such as commercial diving, certain sales positions like real estate or software sales, and specialized tech roles like web development or cybersecurity, which often value skills and certifications over formal education. Success in these jobs typically requires experience, technical skills, or industry certifications, and they may involve self-employment or freelance work.

What jobs pay $2000 a day?

High-paying jobs that can pay around $2000 a day often include specialized roles such as senior software engineers, data scientists, management consultants, and certain freelance or contract positions in finance, law, or technology. These roles typically require advanced skills, extensive experience, and sometimes certifications, and may involve project-based or consulting work with flexible schedules.

What is the difference between Hugging Face vs Machine Learning Engineer?

AspectHugging FaceMachine Learning Engineer
Required CredentialsTypically requires knowledge of NLP, deep learning, and Python; certifications are optionalRequires degrees in CS or related fields; experience with ML frameworks; certifications beneficial
Work EnvironmentCollaborative, research-focused, often in tech companies or startupsDevelopment, deployment, and optimization of ML models in various industries
Employer & Industry UsageUsed by AI/ML companies, research labs, and open-source communitiesEmployed across tech, finance, healthcare, and other sectors implementing ML solutions

Hugging Face primarily focuses on NLP tools, libraries, and open-source models, serving as a platform for AI research and development. Machine Learning Engineers develop, implement, and optimize ML models across various domains. While Hugging Face offers resources and tools that ML Engineers use, the roles differ: Hugging Face is a platform, whereas Machine Learning Engineer is a job role involving hands-on model development and deployment.

How much does Hugging Face pay?

Salaries at Hugging Face vary depending on the role, experience, and location, but the company generally offers competitive compensation for AI and machine learning positions. Entry-level roles may start around $80,000 annually, while more experienced engineers and researchers can earn over $150,000 per year. Benefits often include flexible schedules, remote work options, and opportunities to work with cutting-edge NLP tools.
What are popular job titles related to Hugging Face jobs in Kentucky? For Hugging Face jobs in Kentucky, the most frequently searched job titles are:
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What cities in Kentucky are hiring for Hugging Face jobs? Cities in Kentucky with the most Hugging Face job openings:
Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Kentucky as of June 2026, with employment types broken down into 14% As Needed, 45% Full Time, 4% Part Time, 22% Temporary, 14% Nights, and 1% Summer. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $27,924 per year, or $13.4 per hour.

Artificial Intelligence (AI) Engineer

Purple Drive Technologies

Louisville, KY • On-site

$110K - $132K/yr

Full-time

Posted 28 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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