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Aws Mlops Jobs (NOW HIRING)

CYNET SYSTEMS

AWS Data Scientist

Charlotte, NC · On-site

$75/hr

Deploy, monitor, and optimize ML models in production environments using AWS MLOps best practices. * Collaborate with Data Engineers to design ETL pipelines and ensure data availability and ...

Your ITeams Sp. z o.o.

NY · On-site

$120 - $160/hr

We are seeking a Senior MLOps Engineer (AWS Services) to manage the full lifecycle of machine learning models, from development through deployment and ongoing monitoring. The person in this role will ...

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

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 ...

Accord Technologies Inc.

MLOPS Engineer

Chicago, IL · On-site

MLOPS Engineer Location: Chicago, IL Duration: 12+ months Position type: W2 contract Required Skills f or the MLOps Engineer: - Bachelor's plus 9+ years of experience, Master ...

Siri InfoSolutions Inc

MLOPS Engineer

Malvern, PA · On-site

$50 - $60/hr

Role: MLOps Engineer Location: Malvern, PA / Raleigh, NC or USA Any LOcation (Onsite) Duration ... Expertise in cloud computing systems, including AWS, Azure, and GCP. * Working experience with ...

Kapitus

MLOps Architect

Arlington, VA · On-site

$117K - $189K/yr

The ideal candidate has deep expertise in AWS, SageMaker, Databricks, Atlan (data catalog/governance), and modern MLOps tooling, and understands how to operationalize LLMs, RAG systems, and ...

Staffingine LLC

MLOps Engineer

Charlotte, NC · On-site

Contract * 4 to 6 years of strong experience with AWS Gov Cloud environments Export Control FedRAMP ... MLOps architecture with practical expertise in Databricks Unity Catalog MosaicAI serverless ...

AppRecode, Inc.

NY · On-site

$120 - $160/hr

Build end-to-end MLOps pipelines in cloud platforms (AWS / GCP / Azure) * Implement monitoring and observability for ML models in production environments * Optimize infrastructure for ML workloads to ...

Hexaware Technologies, Inc

Data Architect with MLOps

Reston, VA · On-site

$66.25 - $85.25/hr

Technical experience across multi-cloud environments (AWS, Azure, Google Cloud Platform) is a plus ... MLOps Expertise * Extensive experience with MLOps frameworks and enterprise ML lifecycle automation ...

Entarian

MLOps Engineer

Arlington, VA

The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines ... Deploy and manage machine learning models in production using tools like MLflow, Kubeflow, or AWS ...

ClifyX

AWS Senior Architect

Denver, CO · On-site

$66.75 - $87.50/hr

Implement MLOps pipelines using embeddings, fault detection models, LangGraph, and vLLM. • ... Required : • Hands-on experience with AWS services. • Working knowledge of AI/GenAI for ...

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How much do aws mlops jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for aws mlops in the United States is $54.05, according to ZipRecruiter salary data. Most workers in this role earn between $38.70 and $64.42 per hour, depending on experience, location, and employer.

What are common challenges faced by AWS MLOps engineers when deploying machine learning models to production?

AWS MLOps engineers often encounter challenges such as managing model versioning, ensuring seamless integration with CI/CD pipelines, and monitoring model performance after deployment. Handling data drift and automating retraining workflows are also key concerns, as they directly impact model accuracy and reliability. Collaboration with data scientists, DevOps teams, and stakeholders is essential to address these challenges and maintain efficient, scalable machine learning operations in production environments.

What is AWS MLOps?

AWS MLOps refers to the set of practices and tools used to automate, manage, and scale machine learning (ML) workflows on Amazon Web Services (AWS). It combines 'Machine Learning' (ML) with 'Operations' (Ops), enabling teams to streamline the process of building, deploying, monitoring, and maintaining ML models in production. AWS provides specialized services like SageMaker, CodePipeline, and CloudFormation to support these tasks, helping organizations achieve greater efficiency, reliability, and scalability in their ML projects.

What is the difference between Aws Mlops vs Data Scientist?

AspectAws MlopsData Scientist
Required CredentialsCloud certifications (AWS Certified Machine Learning Specialty), programming skills, DevOps knowledgeStatistics, data analysis, programming (Python, R), advanced degrees often preferred
Work EnvironmentCloud platforms, DevOps pipelines, deployment environmentsData analysis, modeling, research environments
Industry UsageTech companies, cloud service providers, organizations deploying ML models at scale

While Aws Mlops focuses on deploying, managing, and automating machine learning models in cloud environments, Data Scientists primarily analyze data, build models, and derive insights. Both roles often collaborate but serve different stages of the ML lifecycle.

What skills and qualifications are needed to thrive as an AWS MLOps engineer?

To thrive as an AWS MLOps Engineer, you need strong foundations in machine learning, cloud computing (especially AWS services), and DevOps practices, typically supported by a degree in computer science or a related field. Familiarity with tools like AWS SageMaker, Lambda, CloudFormation, and CI/CD pipelines, along with certifications such as AWS Certified Machine Learning or DevOps Engineer, is highly valued. Excellent problem-solving, collaboration, and communication skills help bridge the gap between data science and engineering teams. These skills are crucial for efficiently deploying, monitoring, and scaling machine learning models in production environments on AWS.
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Aws Mlops jobs near you
Infographic showing various Aws Mlops job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 1% Part Time, and 10% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution, with an average salary of $112,422 per year, or $54 per hour.

AWS Data Scientist

CYNET SYSTEMS

Charlotte, NC • On-site

$75/hr

Contractor

Re-posted yesterday

Job description

Job Overview:

  • Design and implement end-to-end Machine Learning (ML) pipelines using services such as Amazon SageMaker, AWS Glue, AWS Lambda, and Amazon S3.
  • Perform data collection, cleaning, and feature engineering to prepare datasets for modeling.
  • Develop predictive models and statistical analyses using Python, R, or similar tools.
  • Deploy, monitor, and optimize ML models in production environments using AWS MLOps best practices.
  • Collaborate with Data Engineers to design ETL pipelines and ensure data availability and reliability.
  • Utilize AWS analytics services such as Athena, Redshift, QuickSight, and EMR for advanced reporting and visualization.
  • Work with stakeholders to translate business objectives into data science solutions and actionable insights.
  • Apply AI/ML algorithms for use cases such as forecasting, anomaly detection, NLP, computer vision, and recommendation systems.
  • Maintain compliance with security and governance standards for data management on AWS.
 

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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