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Internship Large Language Model Llm Jobs in Indiana

MISO

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

Developing and operationalizing LLM-powered solutions (RAG, prompt engineering, agent workflows) to ... Hands-on experience with generative AI and large language models (fine-tuning, RAG, prompt ...

BSA Lifestructures Inc

Electrical Designer

Carmel, IN · On-site

Large Language Models (LLM's), familiarity with Deltek VantagePoint preferred; Architecture CAD, Revit, Sketchup, Bluebeam; Graphic Software: InDesign, Adobe Illustrator, Adobe Photoshop, and other ...

New

BSA Lifestructures Inc

Senior Mechanical Engineer

Carmel, IN · On-site

$99K - $130K/yr

Large Language Models (LLM's), familiarity with Deltek Vantagepoint preferred; Architecture CAD, Revit, Sketchup, Bluebeam; Graphic Software: InDesign, Adobe Illustrator, Adobe Photoshop, and other ...

BSA LifeStructures

Director of Engineering

Carmel, IN · On-site

Large Language Models (LLM's), familiarity with Deltek VantagePoint preferred; Architecture CAD, Revit, Sketchup, Bluebeam; Graphic Software: InDesign, Adobe Illustrator, Adobe Photoshop, and other ...

BSA Lifestructures Inc

Plumbing Engineer

Carmel, IN · On-site

$80K - $101K/yr

Large Language Models (LLM's), familiarity with Deltek VantagePoint preferred; Architecture CAD, Revit, Sketchup, Bluebeam; Graphic Software: InDesign, Adobe Illustrator, Adobe Photoshop, and other ...

Elevance Health

Distinguished Engineer

Indianapolis, IN · On-site

$243K - $364K/yr

... large language models (LLMs), distributed systems, and event-driven architectures. * Define ... LLM-based applications, modernizing large, complex legacy systems, and delivering high-quality ...

Deloitte

Google AI Lead Architect

Indianapolis, IN · On-site

$52.75 - $72.50/hr

LLM and AI Integration: Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and ...

Deloitte

Google AI Architect

Indianapolis, IN

LLM and AI Integration: Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and ...

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Internship Large Language Model Llm information

What is an internship in large language model (LLM)?

An Internship in Large Language Model (LLM) typically involves working with advanced artificial intelligence models like GPT or similar technologies. Interns in this field assist with tasks such as data preparation, model training, evaluation, and deployment of natural language processing applications. They may also contribute to research, experimentation, and development of new model features or performance improvements. This role provides hands-on experience in AI, machine learning, and natural language processing, often requiring knowledge of programming, data science, and AI concepts.

What types of projects do interns typically work on during a large language model (LLM) internship?

During a Large Language Model (LLM) internship, interns often participate in projects such as data preprocessing, fine-tuning models on specific tasks, evaluating model outputs, and developing tools for model interpretability. Interns may collaborate closely with research scientists and engineers, contributing to both experimental and production-level code. These projects provide practical experience with natural language processing pipelines and exposure to the latest advancements in AI, making it a valuable learning opportunity for those interested in a career in machine learning and artificial intelligence.

What are the key skills and qualifications needed to thrive as an internship large language model (LLM) specialist?

To thrive as an Internship Large Language Model (LLM) specialist, you need a solid grasp of machine learning fundamentals, natural language processing, and proficiency in programming languages like Python, often supported by coursework or research in computer science or related fields. Familiarity with tools such as TensorFlow, PyTorch, Hugging Face Transformers, and experience using cloud platforms are typically required. Strong analytical thinking, problem-solving abilities, and effective communication help you collaborate with teams and present complex ideas clearly. These competencies are crucial for developing, evaluating, and refining LLMs to create impactful AI solutions.

What is the difference between Internship Large Language Model Llm vs Data Scientist Intern?

AspectInternship Large Language Model LlmData Scientist Intern
Required CredentialsRelevant coursework, programming skills, knowledge of NLPStatistics, programming, data analysis
Work EnvironmentAI research labs, tech companies, startupsData analysis teams, tech firms, research institutions
Employer & Industry UsageAI development, NLP projects, machine learningData analysis, predictive modeling, business insights

Both roles involve data and programming skills, but Internship Large Language Model Llm focuses on natural language processing and AI model development, while Data Scientist Interns work on analyzing data to generate insights. The choice depends on your interest in AI/NLP versus data analysis and business applications.

What are the most commonly searched types of Large Language Model Llm jobs in Indiana?

The most popular types of Large Language Model Llm jobs in Indiana are:

What are popular job titles related to Internship Large Language Model Llm jobs in Indiana?

For Internship Large Language Model Llm jobs in Indiana, the most frequently searched job titles are:

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The top searched job categories for Internship Large Language Model Llm jobs in Indiana are:

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Cities in Indiana with the most Internship Large Language Model Llm job openings:

Internship Large Language Model Llm jobs near you

Principal AI Engineer

MISO

Carmel, IN • On-site

$168K - $193K/yr

Full-time

Retirement, PTO

Re-posted 10 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.
#DiscoverMISO #MISOCareers #lifeatMISO #weareMISO
MISO, What We Do
#LI-ONSITE
#LI-JH1
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.

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