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Language Model Jobs in Cleveland, OH (NOW HIRING)

Speech Language Pathologist (SLP)

Akron, OH

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our multidisciplinary model brings together speech, ABA, OT, and diagnostics--so you're never ... Evaluate and treat pediatric speech and language disorders * Create individualized treatment plans

Speech Language Pathologist (SLP)

Westlake, OH

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our multidisciplinary model brings together speech, ABA, OT, and diagnostics--so you're never ... Evaluate and treat pediatric speech and language disorders * Create individualized treatment plans

Senior Software Architect - .Net/Python

Strongsville, OH

$119K - $162K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Define and drive AI architecture strategies leveraging Large Language Models (LLMs), AI agents, machine learning, and intelligent automation. * Design and implement AI-powered solutions including ...

Develop generative AI applications using large language models and foundation models, including prompt engineering, embeddings, vector search, retrieval-augmented generation, fine-tuning, model ...

Speech Language Pathologist (SLP) Job

Akron, OH · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our multidisciplinary model brings together speech, ABA, OT, and diagnostics-so you're never ... Evaluate and treat pediatric speech and language disorders * Create individualized treatment plans

Speech Language Pathologist (SLP) Job

Westlake, OH · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our multidisciplinary model brings together speech, ABA, OT, and diagnostics-so you're never ... Evaluate and treat pediatric speech and language disorders * Create individualized treatment plans

AI Engineer

Cleveland, OH · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... language models, including LLaMA, Mistral, and Gemma, for local and cloud deployment using quantization, inference acceleration, and model-routing techniques - Designing agent harnesses and ...

Adapts instruction using video modeling, interactive signing activities, and Deaf cultural content to support hearing students from beginning through advanced levels seeking language credit ...

Showing results 41-60

Language Model information

See Cleveland, OH salary details

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How much do language model jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for language model in Cleveland, OH is $30.42, according to ZipRecruiter salary data. Most workers in this role earn between $18.41 and $37.98 per hour, depending on experience, location, and employer.

What is a language model?

Language models are artificial intelligence systems designed to understand, generate, and manipulate human language. They are trained on vast amounts of text data to predict the next word in a sequence, answer questions, write content, translate languages, and perform other language-related tasks. Modern language models, such as those based on deep learning, have revolutionized natural language processing by enabling more accurate and context-aware interactions between humans and machines.

What is the difference between Language Model vs Data Scientist?

AspectLanguage ModelData Scientist
Required CredentialsNone specific; knowledge of NLP and AI concepts helpfulBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesBusiness, finance, healthcare, and various industries
Employer & Industry UsageUsed in AI applications, chatbots, content generationAnalyzing data, building models, providing insights

While both roles involve working with data and AI, a Language Model is an AI system designed to understand and generate human language, often developed by AI engineers. A Data Scientist analyzes data to extract insights and build predictive models, often utilizing language models as tools. Understanding the differences helps clarify career paths and job expectations in the AI and data fields.

What are the key skills and qualifications needed to thrive as a language model, and why are they important?

To thrive as a Language Model Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Experience with frameworks like TensorFlow or PyTorch, and familiarity with large-scale data processing tools, are typically required. Strong analytical thinking, collaboration, and problem-solving skills help in designing effective models and working with cross-functional teams. These capabilities are crucial for developing performant and accurate language models that meet complex real-world communication needs.

What are the common challenges faced by professionals working on language model development teams?

Professionals developing language models often encounter challenges such as managing large datasets, addressing biases in training data, and optimizing model performance while balancing computational resources. Collaboration with cross-functional teams—including data scientists, engineers, and domain experts—is essential to ensure the model's accuracy and relevance. Additionally, staying current with rapid advancements in AI research and maintaining responsible AI practices are crucial aspects of the role.

What are popular job titles related to Language Model jobs in Cleveland, OH?

For Language Model jobs in Cleveland, OH, the most frequently searched job titles are:

What job categories do people searching Language Model jobs in Cleveland, OH look for?

The top searched job categories for Language Model jobs in Cleveland, OH are:

What cities near Cleveland, OH are hiring for Language Model jobs?

Cities near Cleveland, OH with the most Language Model job openings:

Cyber Identity - FDE Senior Consultant - Senior Engineering Management Specialist

Deloitte

Cleveland, OH

Full-time

Re-posted 25 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

As a Senior Consultant in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. 

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Senior Consultant on the Digital Trust & Privacy team, you will be responsible for:

  • Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 5+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 3+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 3+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 1+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

     Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)

     Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).

     Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.

     Kubernetes, GitOps, and advanced cloud-native delivery patterns.

     Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).

     Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.

     Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberDTP27

Qualifications:

As a Senior Consultant in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. 

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Senior Consultant on the Digital Trust & Privacy team, you will be responsible for:

  • Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 5+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 3+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 3+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 1+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

     Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)

     Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).

     Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.

     Kubernetes, GitOps, and advanced cloud-native delivery patterns.

     Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).

     Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.

     Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberDTP27

Education:Bachelor's DegreeEmployment Type:

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