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Llm Analyst Jobs in Indiana (NOW HIRING)

Garrettgp

Data Scientist - JETARS

Fort Wayne, IN · On-site

$110 - $150/hr

Develop and deploy analytics solutions incorporating LLM usage, natural language processing, and text analytics. * Apply MAVEN Smart Systems to support automated decision-making, intelligent ...

New

Deloitte

AI Engineer Consultant

Indianapolis, IN · Hybrid

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... products and analytics. You will work with an AI Data Engineer (data ingestion, curation ...

inKind

Data Engineer

Austin, IN · On-site

$135K - $155K/yr

... LLM) applications. The position requires working across departments to build, operate, and optimize highly available data pipelines that feed analytics, ML training and inference, and retrieval ...

Kobie Marketing

AI Engineer

Indianapolis, IN · On-site

We're building an internal agent platform on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams and clients an LLM-native way to ...

Lasting Change, Inc

AI Engineer

Fort Wayne, IN · On-site

... analytics capabilities. This position will design, build, and deploy AI-powered solutions that ... Design and build LLM-powered applications that help staff work more effectively - including ...

Pwc

AI Engineer

Indianapolis, IN · On-site

$50K - $112K/yr

... analysis - Building and maintaining data pipelines to support AI model deployment - Applying ... LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation ...

Lasting Change Inc

AI Engineer

Fort Wayne, IN

... analytics capabilities. This position will design, build, and deploy AI-powered solutions that ... Design and build LLM-powered applications that help staff work more effectively - including ...

USfalcon

Data Scientist, Craftsman

Fort Wayne, IN · On-site

$120 - $180/hr

Develop and deploy analytics solutions incorporating LLM usage, natural language processing, and text analytics. * Apply MAVEN Smart Systems to support automated decision-making, intelligent ...

New

MedPro Group

AI Specialist

Fort Wayne, IN · On-site

Design, implement, and optimize AI solutions leveraging Microsoft Copilot and MedPro's LLM ... Analytics, Computer Science, Business, or a similar discipline. * 2+ years of experience in ...

Parloa

Senior Agent Architect

Florence, IN

Use your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and design prompts for reliable, user-aligned agent behavior. * Translate complex customer workflows into ...

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All JobsLlm Analyst JobsLlm Analyst Jobs in Indiana

Llm Analyst information

What is an LLM analyst?

An LLM Analyst is a professional who specializes in working with large language models (LLMs), such as GPT or similar AI systems. Their role typically involves evaluating, fine-tuning, and analyzing the performance of these models for specific business or research applications. LLM Analysts may also handle tasks like prompt engineering, data annotation, and quality assurance to ensure that the language model meets designated objectives and safety standards. This position requires a strong understanding of machine learning concepts, natural language processing (NLP), and data analysis.

What are the key skills and qualifications needed to thrive as an LLM analyst, and why are they important?

To thrive as an LLM Analyst, you need a solid background in data science, natural language processing (NLP), and machine learning, often supported by a relevant degree in computer science or a related field. Familiarity with tools and frameworks like Python, TensorFlow, PyTorch, and experience using large language models (LLMs) are typically required. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting results and collaborating with cross-functional teams. These skills are crucial for developing, evaluating, and optimizing LLM applications to deliver accurate and impactful AI solutions.

What are some common challenges faced by LLM analysts when working with large language models in a production environment?

LLM Analysts often encounter challenges such as optimizing model performance while balancing computational costs, ensuring data privacy and compliance, and troubleshooting unexpected model outputs. Collaborating closely with data engineers and machine learning researchers is essential to address issues like data pipeline bottlenecks and model drift. Additionally, LLM Analysts must continuously monitor and retrain models to maintain accuracy, which requires strong analytical and problem-solving skills in a fast-paced, collaborative environment.

What is the difference between Llm Analyst vs Data Scientist?

AspectLlm AnalystData Scientist
Required CredentialsBachelor's in Computer Science, Data Science, or related field; knowledge of machine learning and NLPBachelor's or Master's in Data Science, Statistics, or related; strong programming and statistical skills
Work EnvironmentTech companies, AI firms, research labs focusing on language modelsVarious industries including tech, finance, healthcare; data-driven roles
Employer & Industry UsagePrimarily in AI and NLP-focused companiesBroadly across industries with data analysis needs

While both roles involve working with data and machine learning, an Llm Analyst specializes in language models and NLP applications, whereas a Data Scientist has a broader focus on data analysis, modeling, and insights across various domains.

What jobs can I do with a Llm analyst?

A LLM analyst typically works in roles related to analyzing large language models, such as AI research scientist, machine learning engineer, data scientist, or NLP specialist. These positions involve developing, evaluating, and improving language models, often requiring skills in programming, data analysis, and understanding of AI frameworks. Opportunities are available in tech companies, research institutions, and AI-focused organizations.

What are popular job titles related to Llm Analyst jobs in Indiana?

For Llm Analyst jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Llm Analyst jobs in Indiana look for?

The top searched job categories for Llm Analyst jobs in Indiana are:

What cities in Indiana are hiring for Llm Analyst jobs?

Cities in Indiana with the most Llm Analyst job openings:

Llm Analyst jobs near you

AI Analyst

Tata Consultancy Service Limited

Indianapolis, IN • On-site

$95K - $105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Must Have Technical/Functional Skills
2-4 years of experience in a technical analyst, AI support, or systems configuration role.
Hands-on experience working with LLMs (e.g., OpenAI, Anthropic Claude, AWS Bedrock) -configuration, API usage, and
prompt engineering.
Proficiency in Python for scripting, log parsing, and light automation.
Practical AWS knowledge: navigating CloudWatch logs, Lambda, S3, and IAM to support troubleshooting.
Strong analytical and problem-solving skills with attention to detail.
Required Technologies: Gen-AI, AI Agent engineering, MLOps, MCP,Python, Angular/React/VueJs, NODEJS, AWS platform
Roles & Responsibilities
Design and build end-to-end AI-powered applications to enhance Clinical Operations platforms.
Develop and deploy AI capabilities (LLM applications, RAG pipelines, agent orchestration) to support clinical, regulatory,
and business workflows.
Integrate AI solutions into enterprise environments ensuring scalability, security, and compliance.
Architect and implement integrations with various platforms and enterprise data ecosystems using API-first and
microservices-based approaches.
Design and optimize data models, pipelines, and transformations to ensure high-quality, reliable, and governed datasets.
Ensure alignment with enterprise data standards, metadata management, and traceability requirements.
Embed Responsible AI principles, ensuring fairness, transparency, explainability, and regulatory compliance
(e.g., GxP, data privacy).
Establish governance, auditability, and validation processes aligned with clinical standards.
Develop production-grade code, perform code reviews, and ensure engineering best practices.
Monitor and optimize system performance, scalability, and reliability across applications and pipelines.
Identify opportunities to improve system reliability, response quality, and cost efficiency.
Troubleshoot complex issues across data, infrastructure, and AI layers.
Leverage cloud platforms (AWS/Azure) and modern DevOps/MLOps practices to enable secure, scalable deployments.
Lead end-to-end deliveryfrom ideation and prototyping to full-scale production rollout.
Partner with stakeholders to convert concepts into production-ready solutions delivering measurable business value.
Collaborate with cross-functional teams to identify high-impact opportunities aligned with business priorities.
Provide technical leadership, guiding architecture decisions, best practices, and problem resolution.
Troubleshoot production issues by reviewing AWS logs (CloudWatch, Lambda, S3) and coordinating resolution.
Salary Range: $95,000 -$105,000 year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Perfo rmance Bonus, College Fund, Student Loan Refinancing.
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