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Full Time Mlops Jobs (NOW HIRING)

Merican

AI Solution Architect

Rocky Point, FL · On-site

$59.50 - $78.50/hr

Fulltime Experience: 8-15 years of overall IT experience, with 3-5 years of experience in AI ... Data & MLOps Integration Preferred Skills * Responsible AI * AI Governance * Vector Databases

Choctaw Nation of Oklahoma

AI Architect

Durant, OK · On-site

Full Time| Monday-Friday 8:00AM-4:30PM| Weekly Earned Wage Access is an option for this position ... MLOps standards and best practices to streamline development, automated deployment, and maintain ...

Noblesoft Technologies

AI Architect

Paramus, NJ · On-site

Paramus, NJ / Hybrid Full- Time Role Role Overview: We are seeking a highly accomplished AI ... Design scalable MLOps pipelines for training, deployment, and monitoring. * Define CI/CD strategies ...

Choctaw Nation of Oklahoma

AI Architect

Durant, OK

Full Time| Monday-Friday 8:00AM-4:30PM| Weekly Earned Wage Access is an option for this position ... MLOps standards and best practices to streamline development, automated deployment, and maintain ...

FutureFit AI

ML Ops Lead

$104K - $138K/yr

Staff / Principal MLOps Engineer Full-Time | Remote (US or Canada) or Contract (6 months, potential to convert) Come join our Data team! High velocity, high trust, and high impact with a will to win.

smart folks inc

Lead AI/ML Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Remote Duration: Full-time Note: Need Exceptional exp in AI/ML concepts (GenAI, Agentic, RAG ... Hands-on MLOps & Engineering Practice: * Drive the practical implementation of the MLOps strategy ...

Motion Recruitment

AI Tech Lead

Chicago, IL · On-site

... full time capacity. This opportunity is ideal for an experienced AI professional who enjoys ... MLOps tooling to deliver enterprise scale AI solutions for major clients. This role offers a rare ...

Photon

Gen AI/ML lead- NY

Manhattan, NY · On-site

AI Platform & MLOps * Oversee implementation of MLOps practices for model lifecycle management ... full time employees. This position is not available for independent contractors No applications ...

Photon

Gen AI/ML lead- NY

Manhattan, NY · On-site

AI Platform & MLOps * Oversee implementation of MLOps practices for model lifecycle management ... full time employees. This position is not available for independent contractors No applications ...

Jobgether

$100K - $120K/yr

... 000 . * Full-time opportunity with a remote working model . * Opportunity to work on cutting-edge AI, machine learning, and GenAI solutions. * Hands-on exposure to LLMs, RAG, MLOps, LLMOps ...

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Full Time Mlops information

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How much do full time mlops jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for full time mlops in the United States is $17.50, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.99 per hour, depending on experience, location, and employer.

What is a full time MLOps?

Full Time MLOps roles focus on building, deploying, and maintaining machine learning models in production environments on a full-time basis. MLOps professionals bridge the gap between data science and IT operations, ensuring that machine learning workflows are reliable, scalable, and automated. Their responsibilities often include managing model versioning, monitoring performance, automating pipelines, and collaborating with both data scientists and engineers. This role is essential for organizations seeking to operationalize AI solutions and maintain them effectively over time.

What are the most common challenges faced by full time MLOps professionals in maintaining production machine learning systems?

Full Time MLOps professionals often encounter challenges like ensuring seamless model deployment, managing version control for both code and data, and monitoring model performance in production environments. They must also address issues related to scalability, reproducibility, and automating workflows to reduce manual intervention. Collaborating closely with data scientists, engineers, and IT teams is essential to troubleshoot issues promptly and implement best practices for continuous integration and delivery.

What are the key skills and qualifications needed to thrive as a full time MLOps engineer, and why are they important?

To thrive as a Full Time MLOps Engineer, you need a solid background in machine learning, software engineering, and cloud computing, often supported by a degree in computer science or a related field. Experience with tools like Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP), as well as familiarity with version control systems and infrastructure-as-code, is essential. Strong problem-solving, collaboration, and communication skills help you bridge the gap between data science and IT operations teams. These skills ensure the efficient deployment, scalability, and maintenance of machine learning models in production environments.

What is the difference between Full Time Mlops vs Data Engineer?

AspectFull Time MlopsData Engineer
Required CredentialsCertifications in ML, cloud platforms, scriptingCertifications in data warehousing, SQL, cloud platforms
Work EnvironmentCollaborates with data scientists, DevOps teamsWorks with data pipelines, databases, ETL processes
Industry UsageAI/ML projects, deployment pipelinesData infrastructure, data pipeline development

Full Time Mlops roles focus on deploying and maintaining machine learning models in production, requiring knowledge of ML frameworks and cloud services. Data Engineers build and manage data pipelines and infrastructure. While both roles involve working with data and cloud platforms, Full Time Mlops emphasizes ML deployment and automation, whereas Data Engineers concentrate on data architecture and processing.

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Infographic showing various Full Time Mlops job openings in the United States as of September 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 74% Physical, 5% Hybrid, and 21% Remote job distribution, with an average salary of $36,392 per year, or $17.5 per hour.

AI Solution Architect

Rocky Point, FL • On-site

Merican
IT Services • 51 - 200 employees
Learn more about Mericanexternal

$59.50 - $78.50/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title: AI Solution Architect
Location: Onsite - Tampa, Florida
Job Type: Fulltime
Experience: 8-15 years of overall IT experience, with 3-5 years of experience in AI solution architecture and delivery.
Mandatory Skills
  • AI Solution Architecture
  • AI Solution Design
  • Latest AI Models
  • Large Language Models (LLMs)
  • Enterprise AI Architecture
  • Cloud AI/ML Platforms
  • Data & MLOps Integration
Preferred Skills
  • Responsible AI
  • AI Governance
  • Vector Databases
  • Retrieval-Augmented Generation (RAG)
  • Semantic Search
  • MLOps Tools
  • Cloud-Native Architecture
  • Microservices
  • Kubernetes
  • Agile Delivery
Job Summary
We are seeking an experienced AI Solution Architect to lead the end-to-end architecture, design, and implementation of enterprise AI and AI-native solutions. The ideal candidate will collaborate with business stakeholders, product owners, data teams, and engineering teams to translate business requirements into scalable, secure, and production-ready AI architectures.
This role requires deep expertise in modern AI technologies, including Large Language Models (LLMs), enterprise AI architecture, cloud AI platforms, and AI governance, while driving innovation and best practices across AI initiatives.
Key Responsibilities
  • Lead the architecture, design, and technical roadmap for enterprise AI and AI-native solutions.
  • Translate business and functional requirements into scalable AI solution architectures across data, model, application, and integration layers.
  • Evaluate, select, and integrate the latest AI models and LLMs, including cloud and third-party AI services.
  • Define reusable reference architectures, design patterns, and standards for AI solution delivery.
  • Collaborate with data engineers, MLOps engineers, application developers, and product teams to deliver production-grade AI solutions.
  • Define and enforce non-functional requirements, including performance, security, reliability, scalability, and observability.
  • Conduct technical reviews, proof of concepts (PoCs), and feasibility assessments for emerging AI use cases.
  • Provide architectural leadership, mentoring, and technical guidance while driving innovation and continuous improvement.
Required Qualifications
  • Strong experience designing and delivering enterprise-grade AI solutions.
  • Proven expertise in end-to-end AI solution architecture and reference architecture design.
  • Hands-on experience with machine learning, deep learning, and LLM-based solutions.
  • Deep understanding of the latest AI models, their capabilities, limitations, and enterprise use cases.
  • Experience with cloud AI/ML platforms such as Azure AI, AWS AI/ML, Google Cloud AI, or equivalent.
  • Strong understanding of data architecture, including data pipelines, feature stores, model deployment, monitoring, and MLOps.
  • Experience with application integration using APIs, microservices, and event-driven architectures.
  • Ability to create architecture documentation such as HLDs, LLDs, sequence diagrams, and data flow diagrams.
  • Excellent communication, stakeholder management, and leadership skills.
Preferred Qualifications
  • Experience with AI governance, responsible AI, model risk management, explainability, security, and privacy.
  • Familiarity with vector databases, semantic search, Retrieval-Augmented Generation (RAG), and knowledge graph solutions.
  • Experience with MLOps tools and CI/CD pipelines for AI and ML applications.
  • Knowledge of cloud-native architectures using Docker and Kubernetes.
  • Experience integrating AI solutions with ERP, CRM, and enterprise business applications.
  • Background in product-based or ISV organizations.
  • Experience working in Agile environments with distributed teams.
Education
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
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About Merican

Sourced by ZipRecruiter

Merican is a IT Service consulting firm, specialized in Digital adoption and Business automation. With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Columbia , MD, US

Year founded

2020

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