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Llm Training Jobs in Iowa (NOW HIRING)

... optimize LLM-powered systems, including RAG pipelines, fine-tuned models, and enterprise AI ... training, validation, deployment, and monitoring. • Build large-scale, cloud-native AI systems ...

... training and/or progressively responsible work experience in Engineering with AI and Machine ... LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation ...

... and training, and development and sharing of best practices * Prepare and deliver quarterly ... Familiarity with AI/LLM data risks and governance considerations (preferred) * Outstanding customer ...

Tax Manager - Private Wealth

Des Moines, IA

$108K - $142K/yr

In this role, you'll take on a broader leadership footprint by training, mentoring, and supervising ... Advanced degree such as MST, MAcc, JD, or LLM * Prior Big 4 or large CPA firm experience * Strong ...

Tax Manager - Private Wealth

Davenport, IA · On-site

$105K - $138K/yr

In this role, you'll take on a broader leadership footprint by training, mentoring, and supervising ... Advanced degree such as MST, MAcc, JD, or LLM * Prior Big 4 or large CPA firm experience * Strong ...

Tax Manager - Federal / Corporate Tax

Des Moines, IA · On-site

$108K - $142K/yr

Advanced degree such as Masters of Tax, JD, and/or LLM * Solid understanding with accounting for ... and training; licensure and certifications; and other business and organizational needs. The ...

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Llm Training information

What is an LLM Training?

An LLM Training job involves developing, fine-tuning, and optimizing large language models (LLMs) to improve their performance and accuracy. This role typically includes data collection, preprocessing, model training, evaluation, and troubleshooting issues related to bias, efficiency, and scalability. Professionals in this field work with machine learning frameworks, large datasets, and computational resources to enhance AI capabilities. They may also collaborate with researchers, engineers, and product teams to deploy models for real-world applications.

What are the key skills and qualifications needed to thrive in the LLM Training position?

To excel in LLM Training, you need a strong background in machine learning, natural language processing (NLP), and computer science, often backed by an advanced degree in a related field. Experience with programming languages such as Python, frameworks like PyTorch or TensorFlow, and familiarity with data annotation tools are essential, along with knowledge of cloud platforms and distributed computing. Strong analytical thinking, effective communication, and the ability to collaborate across interdisciplinary teams set top candidates apart. These skills ensure high-quality model development, efficient project execution, and the ability to adapt to evolving AI technologies.

What types of teams or professionals does an LLM Training specialist typically collaborate with?

Professionals specializing in LLM Training often work closely with data engineers, software developers, domain experts, product managers, and quality assurance analysts. Collaboration is essential for collecting and preprocessing training data, integrating models into products, and ensuring outputs meet business and user requirements. These roles frequently participate in agile project workflows, contribute to cross-functional team meetings, and collaborate on continuous model improvements. Engaging with diverse teams expands your understanding of product goals and helps you deliver robust and reliable language models that align with organizational objectives.

Is it possible to train Llm Training?

Training large language models (LLMs) is possible but requires significant computational resources, expertise in machine learning, and access to large datasets. It typically involves using specialized hardware like GPUs or TPUs and knowledge of frameworks such as TensorFlow or PyTorch. Many organizations opt to fine-tune pre-trained models rather than train from scratch due to the high costs and complexity involved.

What are popular job titles related to Llm Training jobs in Iowa?

For Llm Training jobs in Iowa, the most frequently searched job titles are:

Infographic showing various Llm Training job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

Prinicipal AI Engineer

ClifyX

West Des Moines, IA • On-site

Full-time

Re-posted 9 days ago


Job description

Job Summary:
ClifyX is seeking a highly accomplished Principal AI Engineer to lead the design, architecture, and delivery of enterprise scale AI and Machine Learning solutions. This role requires deep technical expertise in AI/ML, strong architectural vision, and hands-on leadership to drive AI strategy across the organization.
Responsibilities:
• Define and drive the organization's AI roadmap, architecture, and long-term technical vision.
• Lead and mentor AI/ML engineers, data scientists, and cross-functional teams.
• Evaluate emerging technologies and guide adoption of GenAI, LLMs, MLOps frameworks, and AI platforms.
• Architect scalable, high-performance machine learning and GenAI solutions for NLP, CV, predictive analytics, and automation.
• Design and optimize LLM-powered systems, including RAG pipelines, fine-tuned models, and enterprise AI assistants.
• Develop reusable AI frameworks, components, and internal toolkits to accelerate organization-wide AI development.
• Oversee full lifecycle: data architecture, feature engineering, experimentation, training, validation, deployment, and monitoring.
• Build large-scale, cloud-native AI systems using Azure/AWS/GCP.
• Establish standards for model quality, reliability, interpretability, and governance.
• Architect robust MLOps pipelines—CI/CD, model versioning, drift detection, automated retraining, monitoring.
• Lead the development of AI platforms supporting multiple business teams and workloads.
• Ensure production environments meet performance, scalability, and security requirements.
• Partner with executives, product teams, and business leaders to identify AI opportunities.
• Translate complex business problems into scalable AI solutions.
• Represent AI architecture in technical reviews and decision-making processes.
Qualifications:
Required:
• Deep technical expertise in AI/ML
• Strong architectural vision
• Hands-on leadership
• Ability to drive AI strategy across the organization
• Extensive experience with advanced ML systems
• Experience with GenAI/LLM solutions
• Experience with end to end AI platform development
• Define and drive the organization's AI roadmap, architecture, and long-term technical vision
• Lead and mentor AI/ML engineers, data scientists, and cross-functional teams
• Evaluate emerging technologies and guide adoption of GenAI, LLMs, MLOps frameworks, and AI platforms
• Architect scalable, high-performance machine learning and GenAI solutions for NLP, CV, predictive analytics, and automation
• Design and optimize LLM-powered systems, including RAG pipelines, fine-tuned models, and enterprise AI assistants
• Develop reusable AI frameworks, components, and internal toolkits to accelerate organization-wide AI development
• Oversee full lifecycle: data architecture, feature engineering, experimentation, training, validation, deployment, and monitoring
• Build large-scale, cloud-native AI systems using Azure/AWS/GCP
• Establish standards for model quality, reliability, interpretability, and governance
• Architect robust MLOps pipelines—CI/CD, model versioning, drift detection, automated retraining, monitoring
• Lead the development of AI platforms supporting multiple business teams and workloads
• Ensure production environments meet performance, scalability, and security requirements
• Partner with executives, product teams, and business leaders to identify AI opportunities
• Translate complex business problems into scalable AI solutions
• Represent AI architecture in technical reviews and decision-making processes
• Experience with Databricks, SQL, and data processing frameworks
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.

ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998