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Full Time Mlops Jobs (NOW HIRING)

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 ...

ML Ops Lead

$104K - $138K/yr

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

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 ...

GCP AI Engineer - Full Time - Remote (Occasional Travel) We are seeking an experienced GCP AI/ML ... MLOps best practices including CI/CD, model versioning, observability, governance, and security ...

GCP AI Engineer - Full Time - Remote (Occasional Travel) We are seeking an experienced GCP AI/ML ... MLOps best practices including CI/CD, model versioning, observability, governance, and security ...

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 ...

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 ...

Model Deployment & MLOps : Validate and monitor AI/ML models post-deployment, leveraging MLOps best ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

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Full Time Mlops information

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$25

How much do full time mlops jobs pay per hour?

As of Aug 11, 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 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 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.

Is full time MLOps in high demand?

Full-time MLOps roles are in high demand due to the increasing adoption of machine learning and AI across industries. These positions often require skills in cloud platforms, automation, and tools like Docker and Kubernetes, reflecting a growing need for professionals who can deploy and maintain scalable ML systems.

What is the average salary in full time MLOps?

Full-time MLOps engineers typically earn an average salary ranging from $100,000 to $150,000 annually, depending on experience, location, and company size. Salaries can increase with expertise in cloud platforms, automation tools, and machine learning deployment skills.

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.

More about Full Time Mlops jobs
What cities are hiring for Full Time Mlops jobs? Cities with the most Full Time Mlops job openings:
What are the most commonly searched types of Mlops jobs? The most popular types of Mlops jobs are:
What states have the most Full Time Mlops jobs? States with the most job openings for Full Time Mlops jobs include:
Infographic showing various Full Time Mlops job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 1% Part Time, and 7% Contract. Highlights an 71% Physical, 10% Hybrid, and 19% Remote job distribution, with an average salary of $36,392 per year, or $17.5 per hour.

Lead / Principal Python & LLM Developer

Lorven Technologies

Dallas, TX • On-site

$138K - $170K/yr

Full-time

Re-posted 9 days ago


Job description

Lead / Principal Python & LLM Developer
Dallas, TX (Onsite)
Fulltime

Role Summary
Drive architecture, design, and implementation of enterprise grade AI/ML, NLP, and LLM-based systems. Lead model development, scalable backend engineering, and cloud AI integration.
Key Responsibilities
• Architect and build complex AI/ML/NLP and LangChain solutions
• Lead design of scalable Python-based backend and APIs
• Guide integration of ML models into production systems
• Partner with architects, data scientists, designers, and product teams for solution delivery
• Optimize models for performance, scalability, and accuracy
• Oversee CI/CD, cloud AI services, and MLOps workflows
• Mentor the engineering team; review high impact code
• Stay current on emerging AI, ML, NLP technologies
Mandatory Skills (with Experience)
• Python (AI/ML/NLP): 8-12 years
• LangChain: 4-6 years
• Cloud (GCP/Azure/AWS) + AI/MLOps: 6-8 years
• Enterprise API architecture (Python): 6+ years
• CI/CD + Kubernetes + automation: 5-7 years
• Cross team leadership, communication & problem solving skills
Good to Have
• Multi language exposure (Java/C#/JavaScript)
• Cloud or AI certifications
• Strong solution design & architectural documentation

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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