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Hugging Face Jobs in Indiana (NOW HIRING)

Principal AI Engineer

Carmel, IN ยท On-site

$168K - $193K/yr

Evaluating and recommending emerging tools, frameworks, and APIs (e.g., OpenAI, Hugging Face, Vertex AI). * Applying AI to anomaly detection and market behavior analysis across electrical markets

Demonstrated 4+ years hands-on experience with Python, SQL, Hugging Face, TensorFlow, Keras, PyTorch, and Spark. * Experience with GCP/AWS cloud platforms. * Strong knowledge of and measurable hands ...

Demonstrated 4+ years hands-on experience with Python, SQL, Hugging Face, TensorFlow, Keras, PyTorch, and Spark. * Experience with GCP/AWS cloud platforms. * Strong knowledge of and measurable hands ...

Hugging Face information

See Indiana salary details

$8

$14

$19

How much do hugging face jobs pay per hour?

As of Aug 1, 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.

Can you make money on Hugging Face?

Hugging Face is a platform that offers opportunities for data scientists, machine learning engineers, and developers to monetize their skills through jobs, freelance projects, or contributing to open-source models. Earning potential depends on the type of work, experience, and whether you are employed directly or working independently. Building a strong portfolio and expertise in NLP and AI tools can increase income opportunities on the platform.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, educators, and skilled tradespeople, are likely to persist despite AI advancements. These roles often involve emotional intelligence, nuanced judgment, and hands-on skills that are difficult for AI to replicate. Continuous learning and adaptability remain important for job security in an evolving technological landscape.

What are Hugging Face jobs?

Hugging Face jobs refer to employment opportunities at the company focused on developing and maintaining open-source machine learning tools, especially in natural language processing. Roles may include software engineering, research, data science, and product management, often requiring skills in Python, deep learning frameworks, and collaboration in a tech environment.

How much do Hugging Face engineers make?

Hugging Face engineers' salaries vary based on experience, role, and location, but generally range from $100,000 to $180,000 annually. Senior positions and specialized roles in machine learning or software engineering tend to offer higher compensation, often including stock options and benefits.

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 cities in Indiana are hiring for Hugging Face jobs? Cities in Indiana with the most Hugging Face job openings:
Infographic showing various Hugging Face job openings in Indiana as of July 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $30,593 per year, or $14.7 per hour.

Principal AI Engineer

MISO

Carmel, IN โ€ข On-site

$168K - $193K/yr

Full-time

Retirement, PTO

Re-posted 23 days ago


Job description

Help shape the future of energy through AI-driven insights!
At MISO, our Analytics and Forensics team is redefining how data powers the energy markets. We build and maintain advanced analytical assets that detect, investigate, and ultimately help prevent market risk events, strengthening reliability for 45 million people. This is more than an AI role. It's an opportunity to shape the future of energy markets. Your work will directly impact how risks are detected, analyzed, and prevented, helping ensure a reliable and resilient power grid.
We're looking for a Principal AI Engineer who is passionate about pushing boundaries with machine learning, generative AI, and large language models. In this role, you'll design and scale cutting-edge AI solutions that unlock deeper insights into market behavior and drive innovation across the energy sector. You won't just build models, you'll build mission-critical intelligence that powers one of the most important infrastructures in the world.
Your responsibilities as our Principal AI Engineer will include:
  • Designing, building, and deploying AI-driven solutions, including ML models, generative AI applications, and intelligent agents.
  • Developing and operationalizing LLM-powered solutions (RAG, prompt engineering, agent workflows) to extract insights from structured and unstructured data.
  • Building scalable infrastructure and platforms to train and serve models at enterprise scale.
  • Prototyping and delivering minimal viable products (MVP), proofs of concept, and production-ready AI solutions.
  • Partnering with data scientists, engineers, and technology teams to integrate AI into real-time and batch pipelines.
  • Evaluating and recommending emerging tools, frameworks, and APIs (e.g., OpenAI, Hugging Face, Vertex AI).
  • Applying AI to anomaly detection and market behavior analysis across electrical markets
  • Driving insights from unstructured sources.
  • Contributing to innovation through experimentation with foundation models, vector databases, and optimization techniques.

Experience needed for our Principal AI Engineer include:
  • A Bachelor's degree in Computer Science, Software Engineering, Data Science, Data Analytics or related field. Master's degree preferred.
  • 3+ years of real-world experience building AI.
  • 8-10 years of experience in building machine learning solutions in a professional environment.
  • Demonstrated experience across multiple disciplines such as:
    • Predictive modeling
    • Natural language processing
    • Data pipelines and automation
    • API development and integration
    • Data visualization and segmentation
    • Applied mathematical modeling
  • Proven ability to take ideas from concept to scalable production solutions.
  • Hands-on experience with generative AI and large language models (fine-tuning, RAG, prompt engineering, agent frameworks).

Some of the technical proficiencies needed for our Principal AI Engineer include:
  • Apache Spark, Databricks, or Synapse
  • Azure Data Factory & Azure Machine Learning Studio
  • MLflow and model lifecycle management
  • OpenAI and/or Hugging Face ecosystems
  • SQL and database querying
  • Docker and containerized deployments
  • R and Python (required)

Appropriate level will be determined based upon experience and knowledge.
Transformative innovation is happening in the electric industry, from digitalizing homes and distributed resources to renewable energy and an ever-changing grid. MISO manages the electricity superhighway in the Central U.S. and through use of groundbreaking research and advanced technology, our highly skilled employees ensure power flows reliably to 45 million Americans. Operating the electricity grid, running a robust energy market, planning for a bright future - it's what our immensely hardworking and dedicated team does every day.
The base salary compensation range being offered for this role is $168,000 - $193,000 USD annually. Base salary range for this position is included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, and qualifications/experience.
Position is also eligible for an annual bonus if individual performance and company objectives are met. At MISO we offer a comprehensive benefits package, including 401k, vacation, sick and safe time, available on your first day of employment.
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Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.