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Assistant Mlops Jobs (NOW HIRING)

Eliassen Group

MLOps / DevOps Engineer

Charlotte, NC · On-site

$70 - $81/hr

Support and improve MLOps platforms with a focus on reliability, scalability, and automation ... These tools assist our hiring teams in different ways, including but not limited to, assistance in ...

Eliassen Group

MLOps / DevOps Engineer

Charlotte, NC · On-site

$70 - $81/hr

Support and improve MLOps platforms with a focus on reliability, scalability, and automation ... These tools assist our hiring teams in different ways, including but not limited to, assistance in ...

Novelis Corporate HQ

Head of AI Automation

Atlanta, GA · On-site

$173K - $223K/yr

MLOps & AI Production Engineering * Knowledge Management Solutions (RAG Solutions) * Advanced ... assistants for operations, engineering, and corporate functions. * Build and operate advanced ...

Qualysoft

Der Fokus liegt auf Big-Data-Engineering , ML/LLM-Workloads , MLOps-Automatisierung sowie der ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Novelis

Head of AI Automation

Atlanta, GA

MLOps & AI Production Engineering * Knowledge Management Solutions (RAG Solutions) * Advanced ... assistants for operations, engineering, and corporate functions. * Build and operate advanced ...

Novelis Corporate HQ

Head of AI Automation

Atlanta, GA

$173K - $223K/yr

MLOps & AI Production Engineering * Knowledge Management Solutions (RAG Solutions) * Advanced ... assistants for operations, engineering, and corporate functions. * Build and operate advanced ...

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Assistant Mlops information

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior AI engineers, machine learning directors, or AI research leads, often in large tech companies or specialized firms. These positions usually require advanced skills in machine learning, deep learning, and data science, along with extensive experience and sometimes executive responsibilities.

Is MLOps a good career path?

MLOps is a growing field that combines machine learning, software engineering, and operations to deploy and maintain machine learning models at scale. It offers high demand for skills in cloud platforms, automation, and data management, making it a promising career choice for those interested in AI and infrastructure. Professionals in MLOps often work with tools like Docker, Kubernetes, and CI/CD pipelines, and typically require knowledge of programming and cloud services.

What are Assistant MLOps?

Assistant MLOps are professionals who support the deployment, monitoring, and management of machine learning models in production environments. They assist senior MLOps engineers with tasks like automating workflows, managing data pipelines, maintaining infrastructure, and ensuring model performance. Their role bridges the gap between data science and IT operations, helping organizations scale and maintain their AI solutions efficiently. Assistant MLOps often have knowledge of cloud services, CI/CD tools, and basic programming, and they work closely with data scientists and engineers.

What jobs pay $2000 a day?

High-paying jobs that can reach $2000 a day often include specialized roles such as senior software engineers, data scientists, or MLOps engineers with extensive experience and advanced skills. These positions typically require advanced certifications, expertise in machine learning tools, cloud platforms, and often involve consulting or contract work with flexible schedules.

Which 3 jobs will survive AI?

Assistant MLOps roles are likely to persist because they involve managing complex machine learning systems, requiring skills in cloud platforms, automation, and data engineering. Jobs that involve creative thinking, strategic decision-making, and tasks requiring emotional intelligence, such as data scientists, AI ethics specialists, and machine learning engineers, are also expected to remain in demand despite AI advancements.

What is the difference between Assistant Mlops vs Data Engineer?

AspectAssistant MlopsData Engineer
Required CredentialsCertifications in cloud platforms, basic scripting, ML toolsComputer science degree, SQL, Python, data architecture
Work EnvironmentCollaborates with ML teams, supports deployment pipelinesBuilds data pipelines, manages databases, processes large datasets
Industry UsageAI/ML projects, cloud-based environmentsData infrastructure, analytics, big data solutions

Assistant Mlops and Data Engineer roles share overlapping skills in cloud platforms and scripting. However, Assistant Mlops focuses on supporting ML deployment and operations, while Data Engineers primarily build and maintain data infrastructure. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are some typical daily responsibilities for an Assistant MLOps professional?

As an Assistant MLOps professional, you can expect your daily tasks to involve supporting the deployment, monitoring, and maintenance of machine learning models in production environments. This often includes collaborating with data scientists to automate model training and testing workflows, managing cloud-based resources, and ensuring that data pipelines are running smoothly. You'll also help troubleshoot issues related to model performance or infrastructure and assist in implementing best practices for version control and continuous integration. Working closely with both engineering and data teams, you'll play a key role in ensuring that ML models remain reliable and scalable in real-world applications.

What are the key skills and qualifications needed to thrive as an Assistant MLOps, and why are they important?

To thrive as an Assistant MLOps, you need a solid understanding of machine learning fundamentals, programming (especially Python), and experience with cloud platforms; a degree in computer science or a related field is typically preferred. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and version control systems (e.g., Git) is important, and certifications in cloud services (AWS, Azure, GCP) can be advantageous. Strong problem-solving, communication, and collaboration skills help you bridge the gap between data science and operations teams. These combined skills ensure efficient deployment, monitoring, and maintenance of machine learning models in production environments.
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Assistant Mlops jobs near you
Infographic showing various Assistant Mlops job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 4% Full Time, 80% Part Time, and 12% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.
MLOps / DevOps Engineer

MLOps / DevOps Engineer

Eliassen Group

Charlotte, NC • On-site

$70 - $81/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago

Job description

Description:

Hybrid 3 on in Charlotte, NC

Our client seeks a senior MLOps / DevOps Engineer focused on platform and infrastructure. The role emphasizes building and operating reliable, scalable, and automated cloud environments that enable machine learning development and deployment. You will collaborate with data scientists, platform teams, and product owners to provision infrastructure as code, implement CI/CD automation, and improve developer experience through tooling and documentation.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $70.00 to $81.00/hr. w2

JN -062026-107530

Responsibilities:
  • Design, build, and maintain cloud infrastructure using Terraform.
  • Develop and manage CI/CD pipelines with GitHub Actions for build, test, and deployment automation.
  • Support and improve MLOps platforms with a focus on reliability, scalability, and automation.
  • Debug and resolve issues across Terraform deployments, pipelines, and cloud services.
  • Automate environment provisioning, configuration, and lifecycle management.
  • Implement monitoring, logging, and alerting to ensure platform health and performance.
  • Collaborate with data scientists and engineers to streamline model deployment and promotion to production.
  • Contribute to repository management, version control practices, and code quality standards.
  • Drive developer experience improvements through tooling, documentation, and self-service capabilities.
Experience Requirements:
  • Strong experience with Terraform for infrastructure provisioning and automation.
  • Proficiency in Python for automation, tooling, and integrations.
  • Hands-on experience with GitHub Actions or similar CI/CD systems, including pipeline design and migration.
  • Strong understanding of Git operations, CI/CD principles, and DevOps practices.
  • Experience with AWS.
  • Experience with containerization and orchestration.
  • Familiarity with the machine learning lifecycle and model deployment workflows.
  • Experience supporting ML platforms, data pipelines, or model infrastructure preferred.
  • Strong communication skills and ability to work cross-functionally.
  • Problem-solving mindset with attention to detail and shared ownership.
Recruitment Transparency Notice
 
Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (noreply@eliassen.com, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process.
 

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact fraud@eliassen.com.

 
About Eliassen Group:
 
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
 
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
 
Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
 
Eliassen Group logo

About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989

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