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Remote Mlops Jobs (NOW HIRING)

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS GovCloud Databricks * Bachelor's degree in computer science, Engineering, Applied Mathematics or related ...

Futran Tech Solutions Pvt. Ltd.

MLops Engineer

Remote (Dallas , TX) Job Details: Proficient in Python Programming >Understanding of MLOps, Model development lifecycle with experience in Training and Deployment pipelines for Machine Learning ...

Mercor

MLOps Engineer - AI Specialist

New York, NY · Remote

$90 - $140/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps , training infrastructure, and ML ...

Mercor

MLOps Engineer - AI Trainer

San Francisco, CA · Remote

$70 - $110/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps , training infrastructure, and ML ...

Qualysoft

Fur ein Enterprise-KI-Projekt wird ein erfahrener MLOps Engineer gesucht. Ziel ist der Aufbau und ... Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache 400 - 450 a day Aufgaben Aufbau und ...

Kasmo Global

MLOPS Ray Developer

$70/hr

MLOPS Ray Developer Location ... Austin, TX/ Sunnyvale, CA/ Remote Rate: $70/hr. - pls don't hold good profiles because of rate.

Futran Tech Solutions Pvt. Ltd.

Sr. Azure MLOps Engineer

$133K - $170K/yr

Seattle, WA (Remote - Local Candidates Preferred) Duration: 6-12 Months Plus Must have - • 5 Plus years of Strong expertise in Azure Machine Learning Service (AMLS), Kubernetes (AKS), and MLOps ...

Niyam IT, Inc.

DevOps/MLOps Engineer

Ashburn, VA · On-site +1

$54 - $74/hr

Remote Work: Niyam understands the value of flexibility. We offer remote work. * Career Growth ... Niyam is seeking a DevOps/MLOps Engineer to join our team in support of our work with a federal ...

C the Signs

Senior MLOps Engineer

$107K - $146K/yr

Position Summary We're hiring a Senior MLOps Engineer with deep machine learning engineering ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

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Remote Mlops information

What is the difference between Remote Mlops vs Data Engineer?

AspectRemote MlopsData Engineer
Required CredentialsCertifications in cloud platforms, ML frameworks, scripting skillsDatabase, ETL, SQL, cloud certifications
Work EnvironmentRemote, cloud-based, collaboration with ML teamsRemote or on-site, data infrastructure focus
Industry UsageAI/ML companies, tech firms, startupsData-driven companies, finance, healthcare, tech
Common Search/ComparisonYesYes

Remote Mlops and Data Engineers share overlapping skills like cloud computing and scripting, but Remote Mlops focuses on deploying and maintaining ML models in production, while Data Engineers build and manage data pipelines. Both roles are essential in data-driven organizations, often collaborating but with distinct technical focuses.

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

To thrive as a Remote MLOps Engineer, you need a strong background in machine learning, software engineering, and cloud computing, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and experience with ML frameworks such as TensorFlow or PyTorch are crucial, along with relevant certifications. Excellent communication, problem-solving abilities, and self-motivation are essential soft skills for collaborating across distributed teams and handling complex deployments. These skills ensure the seamless integration, deployment, and monitoring of machine learning models in production environments, driving efficiency and reliability in remote settings.

What is a Remote MLOps job?

A Remote MLOps job involves managing and automating the deployment, monitoring, and maintenance of machine learning models in production environments, all while working from a remote location. MLOps stands for Machine Learning Operations, and professionals in this role bridge the gap between data science and IT operations to ensure smooth, reliable model performance. Remote MLOps engineers use tools and practices to streamline machine learning workflows, collaborate with distributed teams, and maintain infrastructure without being tied to a physical office.

What are some common challenges faced by remote MLOps engineers, and how can they be overcome?

Remote MLOps engineers often face challenges related to collaborating across distributed teams, ensuring robust CI/CD pipelines for machine learning models, and maintaining secure, scalable cloud infrastructure. Effective communication using collaboration tools and thorough documentation is key to overcoming team coordination issues. Additionally, leveraging cloud-based MLOps platforms and automating routine processes can help streamline workflows and reduce operational friction, allowing engineers to focus on innovation and model optimization.
More about Remote Mlops jobs
What cities are hiring for Remote Mlops jobs? Cities with the most Remote 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 Remote Mlops jobs? States with the most job openings for Remote Mlops jobs include:
What job categories do people searching Remote Mlops jobs look for? The top searched job categories for Remote Mlops jobs are:
Remote Mlops jobs near you
Infographic showing various Remote Mlops job openings in the United States as of June 2026, with employment types broken down into 56% Full Time, 11% Part Time, and 33% Contract. Highlights an 100% Remote job distribution.
MLOps Engineer

MLOps Engineer

Zortech Solutions

Bellevue, WA • Remote

Contractor

Posted 23 days ago

Job description

Job Title  MLOps Engineer to work on AWS GovCloud Databricks
 
Projected Start Date05-09-2025
Projected End Date10-31-2025
Position Type Contract
Location : Bellevue, WA
Remote Work100%
Primary SkillsAWS Cloud Formation
 
Job Description:
  • MLOps Engineer to work on AWS GovCloud Databricks
  • Bachelor’s degree in computer science, Engineering, Applied Mathematics or related field
  • 4-6 years of strong experience with AWS Gov Cloud environments / Export Control / FedRAMP environments
  • Overall, 8-10 years of solid experience in the areas of data engineering / machine learning / data science.
  • 4-6 years of strong experience with the following machine learning topics: classification, clustering, optimization, deep learning, NLP with Python in a programming intensive role.
  • 6-8 years of strong experience in Python / PySpark coding
  • 4-6 years of industry experience with popular ML frameworks such as Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.).
  • 4-6 years of experience with ClassicAI/GenAI ML Model Operationalization in Production.
  • 4 to 6 years of strong experience in Azure Databricks / AWS Databricks, specializing in End-to-End MLOps architecture, with practical expertise in Databricks Unity Catalog, MosaicAI, serverless solutions, MLOps stacks, and Lakehouse monitoring, among other areas.
  • 4-6 years of industry experience with distributed computing frameworks such as Spark, Kubernetes ecosystem, etc.
  • 4-6 years of experience with CI/CD Dev Ops process.
  • Effective communication skills and succinct articulation
  • Experience working with remote and global teams and cross team collaboration
ZorTech logo

About ZorTech

Sourced by ZipRecruiter

The Zor Group is a globally operating conglomerate spanning multiple industries across four countries. Established in 2009 with a mission to make a positive impact, Zor initially began as a staffing organization and naturally evolved into the technology sector. In 2018, ZorTech was introduced through a strategic partnership with the Sunwill Group. Plans for international expansion were initiated in 2020, leading to successful entry into the US market. Alongside an impressive 70% year-over-year growth rate, we also established an offshore delivery team in the USA. With the incorporation of IT Services, ZorTech now offers end-to-end solutions, ranging from top-level talent sourcing to managing large-scale projects. Our organization currently operates in four countries, including Canada, the USA, the Dominican Republic, and India.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Houston , TX, US

Social media

Facebook

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