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Llm Ml Rag Jobs in Ohio (NOW HIRING)

AI/ML Engineer, Senior

Dayton, OH · On-site

$99 - $225/hr

Senior AI/ML Engineer As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer ... Experience with LLM orchestration, RAG pipelines, grounding, or hallucination‑mitigation ...

Senior AI/ML Engineer

Dayton, OH · On-site

$99K - $225K/yr

Experience with LLM orchestration, RAG pipelines, grounding, or hallucination-mitigation workflows ... AI / ML, Cloud, or Solution Architecture Industry Certification s Clearance: Applicants selected ...

AI/ML Engineer, Senior

Dayton, OH · On-site +1

$99K - $225K/yr

Experience with LLM orchestration, RAG pipelines, grounding, or hallucination-mitigation workflows ... AI/ML, Cloud, or Solution Architecture Industry Certifications Clearance: Applicants selected will ...

AI/ML Engineer, Senior

Dayton, OH · On-site

$99K - $225K/yr

Experience with LLM orchestration, RAG pipelines, grounding, or hallucination-mitigation workflows ... AI/ML, Cloud, or Solution Architecture Industry Certifications Clearance: Applicants selected will ...

Senior Data Scientist

Cleveland, OH · On-site

$120 - $190/hr

Deploy AI/ML models into production environments * Implement model monitoring, performance tracking ... LLM-powered applications in enterprise environments * Hands-on experience with RAG pipelines ...

... ML models into production environments Implement model monitoring, performance tracking, and ... LLM-powered applications in enterprise environments Hands-on experience with RAG pipelines ...

... Deploy AI/ML models into production environments • Implement model monitoring, performance ... LLM-powered applications in enterprise environments • Hands-on experience with RAG pipelines ...

AI/ML Engineer, Senior

Dayton, OH · Hybrid

$99K - $225K/yr

Experience with LLM orchestration, RAG pipelines, grounding, or hallucination-mitigation workflows ... AI/ML, Cloud, or Solution Architecture Industry Certifications Clearance: Applicants selected will ...

... Deploy AI/ML models into production environments · Implement model monitoring, performance ... LLM-powered applications in enterprise environments · Hands-on experience with RAG pipelines ...

AI/ML Engineer, Senior

Dayton, OH · On-site

$99 - $225/hr

Experience with LLM orchestration, RAG pipelines, grounding, or hallucination‑mitigation ... AI/ML, Cloud, or Solution Architecture Industry Certifications. Clearance Applicants selected will ...

New

$102.72 - $148.37/hr

... RAG, Agentic Workflows, Chatbots) mit z.b. Lang Chain / Lang Graph, LLM Services, Fast API, Qdrant und Docker. * Entwicklung klassischer ML-/Analytics-Lösungen (Forecasting, Scoring, Segmentierung ...

New

... ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM ...

... ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM ...

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Develop and integrate Generative AI solutions including RAG, prompt engineering, LLM workflows, fine-tuning, and agentic AI where applicable. * Evaluate emerging AI/ML technologies for production ...

New

... Deploy AI/ML models into production environments • Implement model monitoring, performance ... LLM-powered applications in enterprise environments • Hands-on experience with RAG pipelines ...

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Llm Ml Rag information

What are some typical challenges faced when working on retrieval-augmented generation (RAG) systems in large language model (LLM) machine learning roles?

Professionals working on LLM ML RAG systems often encounter challenges such as ensuring the accuracy and relevancy of retrieved documents, managing latency for real-time queries, and seamlessly integrating retrieval mechanisms with generation models. Additionally, keeping up with evolving datasets and maintaining high-quality knowledge bases can be demanding. Collaboration with data engineers and domain experts is common to refine retrieval pipelines and optimize the end-to-end system.

What is the difference between Llm Ml Rag vs Data Scientist?

AspectLlm Ml RagData Scientist
Required CredentialsMaster's or PhD in ML, AI, or related fields; certifications in ML frameworksDegree in Computer Science, Statistics, or related; certifications in data analysis or ML
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, research, product development teams
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, tech, consulting firms
Common Search & ComparisonOften compared for ML specialization and research focusCompared for data analysis, modeling, and business insights

While both roles involve working with machine learning, Llm Ml Rag typically focuses on research and development of large language models, requiring advanced ML expertise. Data Scientists often work on analyzing data, building predictive models, and deriving insights for business decisions. The roles overlap in skills but differ in focus and application areas.

What are the key skills and qualifications needed to thrive as an llm ml rag engineer, and why are they important?

To excel as an LLM ML RAG Engineer, you need a strong background in machine learning, natural language processing, and large language models, typically supported by a degree in computer science or a related field. Proficiency with tools and frameworks like Python, PyTorch/TensorFlow, Hugging Face Transformers, and vector databases (e.g., FAISS, Pinecone) is essential, along with experience in deploying and fine-tuning LLMs and integrating retrieval systems. Strong problem-solving skills, attention to detail, and the ability to collaborate with cross-functional teams distinguish top performers in this role. These skills ensure the effective development and deployment of advanced AI solutions that combine generative and retrieval capabilities for high-impact applications.

What is an llm ml rag job?

LLM ML RAG jobs involve working with Large Language Models (LLMs), Machine Learning (ML), and Retrieval-Augmented Generation (RAG) systems. Professionals in these roles typically design, develop, and optimize AI systems that combine language models with retrieval techniques to improve accuracy, relevance, and factual grounding in generated outputs. These jobs often require expertise in natural language processing, deep learning, data engineering, and information retrieval. Key responsibilities might include integrating RAG pipelines, fine-tuning LLMs, and ensuring high-quality responses from AI applications.
What cities in Ohio are hiring for Llm Ml Rag jobs? Cities in Ohio with the most Llm Ml Rag job openings:

Python Developer with AI/ML - Columbus OH, Wilmington DE - Onsite

Lorven Technologies

Columbus, OH • On-site

$48.50 - $67/hr

Contractor

Re-posted 13 days ago


Job description

Job Title: Python Developer with AI/ML
Location: Columbus OH, Wilmington DE - Onsite
Duration: 12+ Months Contract

Must Have Skills:
Need Python development and some experience in ML/AI using (LLM or RAG or Vector)

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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