ZipRecruiter

Log In

1

Hugging Face Jobs in Indiana (NOW HIRING)

Info Way Solutions

Gen AI Engineer

Indianapolis, IN · On-site

... Hugging Face). • Experience with LLMs, diffusion models, or GANs. • Familiarity with prompt engineering, fine-tuning, and evaluation techniques. • Knowledge of deployment tools (e.g., ONNX ...

All JobsHugging Face JobsHugging Face Jobs in Indiana

Hugging Face information

See Indiana salary details

$8

$14

$19

How much do hugging face jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for hugging face in Indiana is $14.71, according to ZipRecruiter salary data. Most workers in this role earn between $12.36 and $17.40 per hour, depending on experience, location, and employer.

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.

What are popular job titles related to Hugging Face jobs in Indiana?

For Hugging Face jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Hugging Face jobs in Indiana look for?

The top searched job categories for Hugging Face jobs in Indiana are:

What cities in Indiana are hiring for Hugging Face jobs?

Cities in Indiana with the most Hugging Face job openings:

Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Indiana as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $30,593 per year, or $14.7 per hour.

Gen AI Engineer

Indianapolis, IN • On-site

Info Way Solutions
IT Services • 51 - 200 employees
Learn more about Info Way Solutionsexternal

Full-time

Re-posted 20 days ago

Job description

Job Summary:
Info Way Solutions is seeking a Generative AI Engineer to design, develop, and deploy cutting-edge generative models across various domains. The role involves working with large language models and transformer-based architectures to build intelligent and scalable AI systems.
Responsibilities:
• Design, fine-tune, and deploy generative models (e.g., GPT, Stable Diffusion, custom transformers).
• Build and optimize inference pipelines for real-time or batch generation.
• Collaborate with cross-functional teams to integrate generative AI into products.
• Develop and maintain data pipelines for training, evaluation, and continual learning.
• Monitor model performance, address bias/hallucination issues, and improve reliability.
• Stay updated with the latest research and contribute to experimentation and benchmarking.
Qualifications:
Required:
• Bachelor's or Master's in Computer Science, Machine Learning, or related field.
• Strong understanding of deep learning and transformer architectures.
• Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
• Experience with LLMs, diffusion models, or GANs.
• Familiarity with prompt engineering, fine-tuning, and evaluation techniques.
• Knowledge of deployment tools (e.g., ONNX, TorchServe, Triton).
Preferred:
• Experience building generative tools (e.g., chatbots, code generation, digital art).
• Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG).
• Contributions to open-source ML projects or published research.
• Awareness of ethical considerations in generative AI (e.g., data consent, misuse risks).
Company:
Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.

Apply