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Hugging Face Jobs in Indiana (NOW HIRING)

E-Solutions Inc.

Senior AI/ML Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

... Hugging Face transformers and fine-tuned models into ETL and downstream applications. • Build and manage robust ETL workflows using Spark, Glue, Airflow, or similar; handle structured/unstructured ...

Purple Drive

Senior AI/ML Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

... Hugging Face transformers and fine-tuned models into ETL and downstream applications. • Build and manage robust ETL workflows using Spark, Glue, Airflow, or similar; handle structured/unstructured ...

MISO

Principal AI Engineer

Carmel, IN

$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

Elevance Health

Gen AI Engineer

Indianapolis, IN · Hybrid

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 ...

Elevance Health

Gen AI Engineer

Indianapolis, IN · Hybrid

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 ...

Elevance Health

Gen AI Engineer

Indianapolis, IN · Hybrid

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 ...

Elevance Health

Gen AI Engineer

Indianapolis, IN · Hybrid

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 ...

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How much do hugging face jobs pay per hour?

As of Jun 23, 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.

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.
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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 June 2026, with employment types broken down into 14% As Needed, 44% Full Time, 3% Part Time, 22% Temporary, 3% Contract, and 14% Nights. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $30,593 per year, or $14.7 per hour.
Senior AI/ML Engineer

Senior AI/ML Engineer

E-Solutions Inc.

Indianapolis, IN • On-site

$99K - $137K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

AI/ML Engineer:
• Design, develop, and maintain scalable Python applications, libraries, and scripts for data pipelines, APIs, and LLM workflows, ensuring code quality and reusability.
• Craft, test, and optimize prompts for generative AI/LLM models; integrate Hugging Face transformers and fine-tuned models into ETL and downstream applications.
• Build and manage robust ETL workflows using Spark, Glue, Airflow, or similar; handle structured/unstructured data ingestion, transformation, and persistence across data lakes, warehouses, and RDS systems.
• Develop and operationalize LLM/transformer models via Hugging Face ecosystem; optimize inference pipelines for latency, scalability, and cost efficiency across cloud (AWS/GCP/Azure) and containerized environments (ECS/Fargate/Kubernetes).

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