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Temporary Mlops Jobs (NOW HIRING)

TEGNA Inc.

Director, AI & Automation

New York, NY · On-site

$175K - $200K/yr

Proficiency in MLOps, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform ... Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute ...

Fiserv, Inc.

AI Engineer

Columbus, OH · On-site

Experience with MLOps practices and tooling (for example, CI/CD for models, model registries ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

Amazon

Data Engineer, OIS/CXI Analytics

Austin, TX · On-site

$113K - $136K/yr

You will contribute to MLOps data practices - including data versioning, pipeline monitoring, and ... as seasonal or temporary employment. The benefits that generally apply to regular, full-time ...

TEKsystems

Product Manager (AI)

Charlotte, NC · Hybrid

$72 - $79/hr

Understanding of AI/ML lifecycle, model deployment, and MLOps. Knowledge of data governance ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Monitise

AI Engineer

Columbus, OH

Experience with MLOps practices and tooling (for example, CI/CD for models, model registries ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

Monitise

AI Engineer

Berkeley Heights, NJ

Experience with MLOps practices and tooling (for example, CI/CD for models, model registries ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

TEKsystems

Product Manager (AI)

Charlotte, NC · Hybrid

$72 - $79/hr

Understanding of AI/ML lifecycle, model deployment, and MLOps. Knowledge of data governance ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

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How much do temporary mlops jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for temporary mlops in the United States is $18.38, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.95 per hour, depending on experience, location, and employer.

What is a Temporary MLOps role?

A Temporary MLOps role involves supporting machine learning operations on a short-term or contract basis. Professionals in this position are responsible for deploying, managing, and maintaining machine learning models and the infrastructure around them, ensuring efficient workflows and scalability. Temporary MLOps specialists may work on specific projects, help with pipeline automation, or assist with transitioning models from development to production. Their work helps organizations streamline ML processes and minimize downtime, even if only for a limited period.

What are the typical challenges faced by professionals in a Temporary MLOps role?

In a Temporary MLOps role, professionals often encounter the challenge of rapidly integrating into existing teams and workflows, as well as quickly familiarizing themselves with company-specific tools and infrastructure. They are expected to efficiently support the deployment, monitoring, and maintenance of machine learning models, frequently under tight deadlines. Additionally, adapting to diverse project requirements and collaborating with data scientists, engineers, and IT staff within a limited timeframe can be demanding. However, this role provides valuable exposure to various MLOps practices and technologies, which can be advantageous for future career growth.

What are the key skills and qualifications needed to thrive as a Temporary MLOps Engineer, and why are they important?

To thrive as a Temporary MLOps Engineer, you need strong knowledge of machine learning workflows, software development, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, TensorFlow, CI/CD pipelines, and cloud platforms (AWS, GCP, or Azure) is essential, as are certifications in cloud services or DevOps. Excellent problem-solving, adaptability, and collaboration skills help you integrate seamlessly into teams and ensure smooth project handovers. These competencies enable efficient deployment, monitoring, and maintenance of ML models in production environments, ensuring project continuity and reliability.

What is the difference between Temporary Mlops vs Data Engineer?

AspectTemporary MlopsData Engineer
Required CredentialsRelevant certifications in cloud platforms, scripting, and ML toolsDegree in Computer Science, Data Science, or related field; SQL and programming skills
Work EnvironmentProject-based, short-term contracts, often in cloud or AI-focused teamsLong-term, ongoing data infrastructure development in various industries
Employer & Industry UsageTech companies, startups, AI firmsFinancial, healthcare, tech, and other data-driven industries

Temporary Mlops roles focus on short-term deployment and management of ML systems, often requiring cloud and scripting skills. Data Engineers build and maintain data pipelines over the long term. While both roles involve data and cloud tools, Temporary Mlops positions are more specialized in ML deployment, making them distinct in scope and duration.

More about Temporary Mlops jobs
What cities are hiring for Temporary Mlops jobs? Cities with the most Temporary 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 Temporary Mlops jobs? States with the most job openings for Temporary Mlops jobs include:
What job categories do people searching Temporary Mlops jobs look for? The top searched job categories for Temporary Mlops jobs are:
Temporary Mlops jobs near you
Infographic showing various Temporary Mlops job openings in the United States as of May 2026, with employment types broken down into 3% Locum Tenens, 85% Full Time, and 12% Temporary. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $38,238 per year, or $18.4 per hour.
Director, AI & Automation

Director, AI & Automation

TEGNA Inc.

New York, NY • On-site

$175K - $200K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

TEGNA rating

6.5

Company rating: 6.5 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

50th of 65 rated media

Job description

About TEGNA
TEGNA Inc. (NYSE: TGNA) helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across the web, mobile apps, streaming, and linear television. Together, we are building a sustainable future for local news.
TEGNA is seeking an enterprise-focused technology leader to spearhead the development and implementation of advanced AI solutions. This individual will be responsible for incubating ideas, rapid prototyping and validation of emerging technologies, ensuring concepts are effectively transformed into functional solutions. This position centers on enterprise-wide automation thru Agentic AI, aiming to enhance operations across all business and media workflows.
The ideal candidate will possess substantial technical expertise in AI orchestration, distributed systems, and cloud platforms, along with the ability to lead a small, high-performing team within a dynamic, innovation-driven environment.
Responsibilities
  • Lead the "innovation lab" for AI. Design modular AI architectures and execute rapid POCs and pilots to validate technical feasibility.
  • Lead, mentor, and grow a specialized team of AI engineers. Provide technical guidance, and champion best practices in a matrixed onshore-offshore model.
  • Partner with business stakeholders to translate business needs into technical specifications. Evaluate and recommend new technologies-such as LLMs, orchestration frameworks, and vector databases-ensuring alignment with TEGNA's enterprise architecture and security policies.
  • Oversee the design and maintenance of scalable AI pipelines and shared services (prompt libraries, RAG pipelines). Drive automation in AI ops. Oversee the building of efficient, reusable code and APIs for AI model integration and user interfaces for AI-powered features.

Requirements
  • 12-15 years in technology leadership, with 2 years specifically focused on AI/automation strategy, architecture, or platform enablement. Proven track record of delivering impactful AI solutions and managing high-performing engineering teams.
  • Deep understanding of Generative AI (LLMs, RAG) and Agentic AI (multi-agent systems, autonomous workflows). Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Expertise in cloud-native AI platforms (Azure OpenAI, AWS Bedrock, or Google Vertex AI). Advanced SQL and strong Python skills (Pandas, PySpark) for data manipulation and pipeline development.
  • Experience with API Development (RESTful, GraphQL) and modern JavaScript frameworks (React, Vue.js, or Angular). Proficiency in MLOps, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, CloudFormation).
  • Strong understanding of Agile methodologies, Jira, and version control (Git). Experience managing the end-to-end lifecycle of multiple AI projects from planning to monitoring.
  • Exceptional communication and "storytelling" skills to articulate complex AI concepts to both technical and non-technical audiences.

Education
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or a related quantitative field. #LI-MS1

Pay Range
$175,000-$200,000 USD
Benefits:
TEGNA offers comprehensive benefits designed to safeguard the physical, mental and financial health of our employees and their families. TEGNA offers two medical plan options for full and part-time employees through Blue Cross Blue Shield of Texas, as well as access to dental and eye care coverage; fertility, surrogacy and adoption assistance; disability and life insurance.
Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute 1% - 80% of their pay on a pre-tax basis to TEGNA's 401(k). Contributions made up to the first 4% of pay are eligible for a 100% match from the company and are 100% vested from day one.
Regardless of participation in TEGNA medical plans, ALL employees and their eligible family members receive nine free virtual doctor's appointments with a physician through Teladoc, and 12 free annual therapy sessions with a licensed clinician through Spring Health.
TEGNA offers a generous Paid Time Off (PTO) benefit as well as nine paid holidays per year.
* Some jobs are covered by a collective bargaining agreement and thus some or all of the benefits described herein may not apply. For example, some newsroom bargaining unit employees receive health and retirement benefits under plans administered by the union.
EEO statement:
TEGNA Inc. is a proud equal opportunity employer. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. We value and consider applications from all qualified candidates without regard to actual or perceived race, color, religion, national origin, sex, gender, age, marital status, personal appearance, sexual orientation, gender identity or expression, family responsibilities, disability, medical condition, enrollment in college or vocational school, political affiliation, military or veteran status, citizenship status, genetic information, or any other basis protected by federal, state or local law. TEGNA will reasonably accommodate qualified individuals with disabilities in accordance with applicable law. If you are in need of an accommodation in order to submit your application, please email askhr@tegna.com
Recruiting Fraud Alert:To all candidates: your personal information and online safety are important to us. Only TEGNA Recruiters or Hiring Managers will reach out to you regarding consideration of your application or background. Communications with TEGNA employees will either come from a TEGNA email address with a domain of tegna.com or one of our affiliate station domains.
Recruiters or Hiring Managers will never request payments, ask for financial account information or sensitive information such as social security numbers.
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