AI / ML Platform Engineer
Westerville, OH · On-site
Demonstrated experience with prompt engineering , RAG pipeline development, and LLM API integration ... AWS AI/ML certifications (AWS Certified Machine Learning - Specialty, or AWS Certified AI ...
AI / ML Platform Engineer
Westerville, OH · On-site
Demonstrated experience with prompt engineering , RAG pipeline development, and LLM API integration ... AWS AI/ML certifications (AWS Certified Machine Learning - Specialty, or AWS Certified AI ...
Required agentic AI experience: built and deployed LLM-enabled agentic workflow (e.g., RAG + tool ... Specialized ML domains & regulated environments: search/ranking, recommenders, graph ML/knowledge ...
Required agentic AI experience: built and deployed LLM-enabled agentic workflow (e.g., RAG + tool ... Specialized ML domains & regulated environments: search/ranking, recommenders, graph ML/knowledge ...
Python Developer with AI/ML - Columbus OH, Wilmington DE - Onsite
Columbus, OH · On-site
$48.50 - $67/hr
Need Python development and some experience in ML/AI using (LLM or RAG or Vector)
Python Developer with AI/ML - Columbus OH, Wilmington DE - Onsite
Columbus, OH · On-site
$48.50 - $67/hr
Need Python development and some experience in ML/AI using (LLM or RAG or Vector)
Software Engineer AI/ML
$105K - $126K/yr
What you'll do: Design, build, deliver, and maintain AI/ML products including LLM-powered ... Design vector database architectures and semantic search capabilities to power RAG applications ...
Software Engineer AI/ML
$105K - $126K/yr
What you'll do: Design, build, deliver, and maintain AI/ML products including LLM-powered ... Design vector database architectures and semantic search capabilities to power RAG applications ...
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 ...
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 ...
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 +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 ...
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 ...
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 ...
Senior Machine Learning Engineer (GenAI / Production Systems)
Cleveland, OH · On-site
$80 - $120/hr
Design and build end-to-end ML pipelines (data ingestion → feature engineering → model training → deployment → monitoring) * Develop and deploy LLM / GenAI solutions (RAG, NLP, prompt ...
Senior Machine Learning Engineer (GenAI / Production Systems)
Cleveland, OH · On-site
$80 - $120/hr
Design and build end-to-end ML pipelines (data ingestion → feature engineering → model training → deployment → monitoring) * Develop and deploy LLM / GenAI solutions (RAG, NLP, prompt ...
... ML models into production environments Implement model monitoring, performance tracking, and ... 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 ...
AI/ML Engineer, Senior with Security Clearance
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 with Security Clearance
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 ...
Senior Data Scientist
Cleveland, OH · On-site
... Deploy AI/ML models into production environments • Implement model monitoring, performance ... LLM-powered applications in enterprise environments • Hands-on experience with RAG pipelines ...
Senior Data Scientist
Cleveland, OH · On-site
... 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 ...
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 ...
Senior Data Scientist
Cleveland, OH · On-site
... 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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Senior Data Scientist
Cleveland, OH · On-site
... Deploy AI/ML models into production environments · Implement model monitoring, performance ... LLM-powered applications in enterprise environments · Hands-on experience with RAG pipelines ...
Gen AI Engineer
Mason, OH · Hybrid
... 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 ...
Gen AI Engineer
Mason, OH · Hybrid
... 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 ...
Gen AI Engineer
Mason, OH · Hybrid
... 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 ...
Gen AI Engineer
Mason, OH · Hybrid
... 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 ...
Senior Data Scientist
Cleveland, OH · On-site
... Deploy AI/ML models into production environments • Implement model monitoring, performance ... LLM-powered applications in enterprise environments • Hands-on experience with RAG pipelines ...
Senior Data Scientist
Cleveland, OH · On-site
... Deploy AI/ML models into production environments • Implement model monitoring, performance ... LLM-powered applications in enterprise environments • Hands-on experience with RAG pipelines ...
... ML operations. Oversee the production deployment of machine learning and LLM-powered applications, including RAG solutions, AI copilots, model evaluation frameworks, guardrails, and automated ...
... ML operations. Oversee the production deployment of machine learning and LLM-powered applications, including RAG solutions, AI copilots, model evaluation frameworks, guardrails, and automated ...
Director of AI Engineering
Cleveland, OH · On-site
... ML operations. • Oversee the production deployment of machine learning and LLM-powered applications, including RAG solutions, AI copilots, model evaluation frameworks, guardrails, and automated ...
Director of AI Engineering
Cleveland, OH · On-site
... ML operations. • Oversee the production deployment of machine learning and LLM-powered applications, including RAG solutions, AI copilots, model evaluation frameworks, guardrails, and automated ...
Senior Lead AI Security Engineer
$107K - $147K/yr
Build secure LLM/RAG services and ML pipelines that integrate with SIEM/XDR, EDR, SOAR, IAM, ITSM, CMDB, code repos, and cloud telemetry. * Establish engineering standards for secure AI: prompt ...
Senior Lead AI Security Engineer
$107K - $147K/yr
Build secure LLM/RAG services and ML pipelines that integrate with SIEM/XDR, EDR, SOAR, IAM, ITSM, CMDB, code repos, and cloud telemetry. * Establish engineering standards for secure AI: prompt ...
Senior Lead AI Security Engineer
Columbus, OH · On-site
$107K - $147K/yr
Build secure LLM/RAG services and ML pipelines that integrate with SIEM/XDR, EDR, SOAR, IAM, ITSM, CMDB, code repos, and cloud telemetry. * Establish engineering standards for secure AI: prompt ...
Senior Lead AI Security Engineer
Columbus, OH · On-site
$107K - $147K/yr
Build secure LLM/RAG services and ML pipelines that integrate with SIEM/XDR, EDR, SOAR, IAM, ITSM, CMDB, code repos, and cloud telemetry. * Establish engineering standards for secure AI: prompt ...
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?
| Aspect | Llm Ml Rag | Data Scientist |
|---|---|---|
| Required Credentials | Master's or PhD in ML, AI, or related fields; certifications in ML frameworks | Degree in Computer Science, Statistics, or related; certifications in data analysis or ML |
| Work Environment | Research labs, AI development teams, tech companies | Business analytics, research, product development teams |
| Employer & Industry Usage | Tech firms, AI startups, research institutions | Finance, healthcare, tech, consulting firms |
| Common Search & Comparison | Often compared for ML specialization and research focus | Compared 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 are popular job titles related to Llm Ml Rag jobs in Ohio? For Llm Ml Rag jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Llm Ml Rag jobs in Ohio look for? The top searched job categories for Llm Ml Rag jobs in Ohio are:
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What cities in Ohio are hiring for Llm Ml Rag jobs? Cities in Ohio with the most Llm Ml Rag job openings:
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Vertiv rating
6.7
Based on 64 frontline employees who took The Breakroom Quiz
376th of 487 rated machine equipment manufacturers
Job description
Job Summary
Vertiv is seeking a technically skilled and innovative AI / ML Platform Engineer to serve as the hands-on engineering lead for enterprise AI platform capabilities within Vertiv's Digital organization. This individual contributor role is responsible for supporting, administering, and extending Vertiv's production AI platforms - including Writer AI and Compass AI - while owning the development of prompt engineering standards, and AI governance frameworks that ensure responsible, compliant, and high-quality AI outputs across the enterprise. The AI / ML Platform Engineer will operate within the Digital organization and play a central role in advancing Vertiv's Operational Excellence and Customer Focus & Innovation strategic priorities by enabling scalable, governed, and production-grade generative AI capabilities that deliver measurable business value.
As an individual contributor in a lead capacity, this role extends beyond hands-on platform engineering to encompass the full lifecycle of LLM-based application delivery - from model evaluation and prompt optimization to LLMOps monitoring and cross-functional AI enablement. The AI / ML Platform Engineer will partner closely with technology and business stakeholders to define AI usage policies, evaluate emerging GenAI technologies, and ensure that all AI solutions are secure, observable, and aligned to Vertiv's enterprise architecture and data governance standards.
This position is based onsite at Vertiv's Westerville, OH headquarters, with occasional domestic and international travel as needed.
Responsibilities:
- Support and Administer Writer AI & Compass AI Platforms: Serve as the primary technical owner for Vertiv's Writer AI and Compass AI platform instances, managing configuration, tenant administration, integrations, user access controls, and platform health to ensure reliable, production-grade availability across the enterprise.
- Lead Prompt Engineering and Optimization: Design, develop, test, and continuously refine prompts and prompt templates for LLM-powered applications, establishing enterprise-wide prompt engineering standards, libraries, and versioning practices that maximize model accuracy, consistency, and safety.
- Build and Maintain RAG Pipelines: Architect and implement end-to-end Retrieval-Augmented Generation (RAG) pipelines - including document ingestion, chunking strategies, embedding generation, and vector search integration - to ground LLM outputs in authoritative Vertiv knowledge sources and reduce hallucination risk.
- Drive AI Governance and Compliance: Define and enforce AI usage policies, content safety guardrails, data handling standards, and compliance controls across all GenAI platforms and applications, partnering with Legal, Compliance, IT Security, and NPDi teams to ensure responsible AI practices aligned to Vertiv's risk framework.
- Operate LLMOps and Monitoring Frameworks: Implement and maintain LLMOps tooling for production AI systems, including prompt performance monitoring, output quality tracking, cost management, latency observability, and model drift detection, ensuring that AI applications remain performant, reliable, and cost-effective at scale.
- Collaborate Cross-Functionally on AI Initiatives: Partner with technology and business stakeholders to translate requirements into technical AI solutions, provide platform consulting for new GenAI use cases, and serve as a technical subject matter expert on LLM capabilities, limitations, and integration patterns.
- Design and Execute AI Evaluation Frameworks: Develop systematic evaluation frameworks and benchmarks for assessing LLM output quality, prompt effectiveness, RAG retrieval accuracy, and model behavior - enabling data-driven decisions on model selection, prompt iteration, and platform evolution.
- Stay Current on GenAI Advancements: Continuously monitor advancements in generative AI, large language models, agentic AI frameworks, and enterprise AI platforms; evaluate emerging tools and techniques for applicability to Vertiv's AI roadmap and provide actionable recommendations to Digital leadership.
Requirements:
- Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field; equivalent practical experience considered.
- 5+ years of professional experience in software engineering, AI/ML engineering, or a related technical discipline.
- 3+ years of hands-on experience building and deploying GenAI / LLM-based applications or platforms in a production enterprise environment.
- Demonstrated experience with prompt engineering, RAG pipeline development, and LLM API integration in real-world production systems.
- Experience with enterprise AI platform administration (e.g., Writer AI, Compass AI, or equivalent SaaS AI platforms) is strongly preferred.
Technical Skills
- Proficiency in Python for AI/ML engineering, data processing, and pipeline development.
- Hands-on experience with RAG architectures, vector search technologies (e.g., Pinecone, Weaviate, pgvector, OpenSearch), and embedding models.
- Experience with LLM APIs and frameworks (e.g., OpenAI, Anthropic, LangChain, LlamaIndex, or equivalent) for building production AI applications.
- Familiarity with AWS AI/ML services (SageMaker, Bedrock, or equivalent) and cloud-native deployment patterns.
- Experience with CI/CD pipelines and DevOps tooling (Gitlab, Jenkins, GitHub Actions, Azure DevOps, or equivalent) for AI application delivery.
- Working knowledge of prompt engineering best practices, prompt versioning, and LLMOps tooling (e.g., MLflow, LangSmith, Weights & Biases, or equivalent).
Preferred Qualifications
- AWS AI/ML certifications (AWS Certified Machine Learning - Specialty, or AWS Certified AI Practitioner).
- Direct hands-on experience with Writer AI and/or Compass AI platform administration and integration.
- Familiarity with enterprise LLMOps tooling, AI observability platforms, and model evaluation frameworks.
- Experience with Snowflake or other cloud data platforms for AI/ML data pipelines and feature engineering.
- Exposure to AI governance frameworks, responsible AI principles, and enterprise AI policy development.
- Experience working in Agile/Scrum delivery environments with cross-functional digital product teams.
The successful candidate will embrace Vertiv's Core Principals & Behaviors to help execute our Strategic Priorities.
OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion.
OUR STRATEGIC PRIORITIES
Customer Focus
Operational Excellence
High-Performance Culture
Innovation
Financial Strength
OUR BEHAVIORS
Own It
Act With Urgency
Foster a Customer-First Mindset
Think Big and Execute
Lead by Example
Drive Continuous Improvement
Learn and Seek Out Development
About Vertiv
Vertiv is a $10.2 billion global critical infrastructure and data center technology company. We ensure customers' vital applications run continuously by bringing together hardware, software, analytics and ongoing services. Our portfolio includes power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Columbus, Ohio, USA, Vertiv employs around 34,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.
Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity Employer
Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to help.join@vertiv.com.
#LI-RB1
Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity Employer
We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability.