ZipRecruiter

Log In

1

Aws Mlops Jobs in Silver Spring, MD (NOW HIRING)

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 ...

Steampunk

MLOps Engineer

Mclean, VA · On-site

$115K - $150K/yr

We are seeking a MLOps Engineer to design, build, and support the infrastructure, tooling, and ... AWS DevOps Engineer * Azure Data Scientist Associate * Google Professional Machine Learning ...

Entarian

MLOps Engineer

Arlington, VA · On-site

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 ...

Steampunk

MLOps Engineer

Mclean, VA · On-site

$115K - $150K/yr

The MLOps Engineer works closely with Data Scientists, AI Developers, Data Engineers, and cloud ... AWS DevOps Engineer * Azure Data Scientist Associate * Google Professional Machine Learning ...

Entarian

MLOps Engineer

Arlington, VA · On-site

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 ...

Entarian

MLOps Engineer

Arlington, VA · On-site

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 ...

Steampunk

MLOps Engineer

Mclean, VA · On-site

$115K - $150K/yr

The MLOps Engineer works closely with Data Scientists, AI Developers, Data Engineers, and cloud ... AWS DevOps Engineer * Azure Data Scientist Associate * Google Professional Machine Learning ...

BizFirst

MLOps Engineer

Alexandria, VA · On-site

$140 - $200/hr

BizFirstis assisting our client with the hiring of an MLOps Engineer to build andoperate the ... Proficiency with Docker, Kubernetes, and cloud platforms (AWS SageMaker, GCPVertex AI, or Azure ML)

Capital One

Lead Software Engineer - MLOps

Mclean, VA · On-site

Lead Software Engineer - MLOps Do you love building and pioneering in the technology space? Do you ... Harness cloud infrastructure (AWS), container orchestration (Docker/Kubernetes), ML tooling ...

Capital One

Lead Software Engineer - MLOps

Mclean, VA · On-site

Lead Software Engineer - MLOps Do you love building and pioneering in the technology space? Do you ... Harness cloud infrastructure (AWS), container orchestration (Docker/Kubernetes), ML tooling ...

next page

Showing results 1-20

All JobsAws Mlops JobsAws Mlops Jobs in Silver Spring, MD

Aws Mlops information

See Silver Spring, MD salary details

$11

$55

$80

How much do aws mlops jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for aws mlops in Silver Spring, MD is $55.88, according to ZipRecruiter salary data. Most workers in this role earn between $40.00 and $66.59 per hour, depending on experience, location, and employer.

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 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.

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 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 are popular job titles related to Aws Mlops jobs in Silver Spring, MD?

For Aws Mlops jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Aws Mlops jobs in Silver Spring, MD look for?

The top searched job categories for Aws Mlops jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Aws Mlops jobs?

Cities near Silver Spring, MD with the most Aws Mlops job openings:

Aws Mlops jobs near you
Infographic showing various Aws Mlops job openings in Silver Spring, MD as of August 2026, with employment types broken down into 52% Full Time, and 48% Contract. Highlights an 79% In-person, 5% Hybrid, and 16% Remote job distribution, with an average salary of $116,220 per year, or $55.9 per hour.

MLops Architect - Reston, VA - Fulltime

Hexaware Technologies, Inc

Reston, VA • On-site

$67.25 - $88.50/hr

Other

Re-posted 18 days ago

Job description

Job Description

Role Summary
We are seeking a senior Enterprise Architect to lead the design of cloud-native MLOps and data platforms on AWS. This role is focused on enterprise-scale architecture, platform design, and governance of the ML lifecycle not model development or pipeline implementation.
The ideal candidate brings deep expertise in AWS cloud architecture and MLOps platform design, with the ability to define reference architectures, standards, and scalable patterns that enable multiple teams to build and operate machine learning solutions in a secure, compliant, and repeatable manner.
Key Responsibilities
Define and lead enterprise MLOps architecture across the full ML lifecycle:
data ingestion, feature engineering, training, validation, deployment, monitoring, and retraining
Design cloud-native reference architectures on AWS for ML platforms and data-driven applications
Establish standards and governance for:
model lifecycle management (versioning, lineage, approvals)
reproducibility and environment standardization
responsible AI and auditability
Architect scalable ML inference solutions using microservices and event-driven patterns (batch and real-time)
Define CI/CD patterns for ML and integrate with enterprise DevOps tooling
Partner with business and engineering teams as a trusted advisor to translate requirements into scalable architectures
Lead cloud adoption and modernization strategies, including AWS landing zones and multi-account design
Collaborate with Security, Risk, and Compliance teams to ensure secure-by-design and compliant architectures
Produce architecture artifacts (reference architectures, diagrams, roadmaps)
Required Experience
12+ years of experience in software engineering, data platforms, or cloud architecture
5+ years as a Solution or Enterprise Architect in AWS environments
Proven experience designing and implementing enterprise-scale MLOps platforms or ML lifecycle architectures
Strong experience with cloud-native architectures (microservices, containerization, event-driven systems)
Hands-on experience with AWS services and infrastructure design
Core Technical Expertise
MLOps & ML Platform Architecture (Primary Focus)
End-to-end ML lifecycle architecture (train deploy monitor retrain)
Model governance:
lineage, auditability, explainability, responsible AI controls
Model deployment patterns:
batch, real-time, and streaming inference
Monitoring & observability:
drift detection, data quality, performance tracking
CI/CD for ML and automated deployment pipelines
AWS Cloud Architecture
Deep expertise in AWS services such as EKS/ECS, Lambda, Step Functions, S3, IAM, VPC
Experience designing secure, scalable, multi-account architectures
Infrastructure as Code (CloudFormation or Terraform)
Observability, logging, and resilience patterns
Cloud-Native & Distributed Systems
Microservices architecture and container orchestration (Docker, Kubernetes)
Event-driven architecture (Kinesis, SNS/SQS, EventBridge)
Service-to-service communication and resiliency patterns
Data Architecture (Nice to Have)
Experience with enterprise data platforms (data lakes, warehouses, streaming)
Familiarity with real-time and batch data processing systems
Preferred Qualifications
Experience with enterprise ML platforms (e.g., Domino Data Lab, SageMaker, or similar)
Multi-cloud exposure (Azure preferred; Google Cloud Platform is a plus)
TOGAF or equivalent architecture framework
AWS Professional Certification (preferred) or Associate level (required)
Security certifications (e.g., CISSP) are a plus
What This Role Is NOT
Not a data scientist or ML model development role
Not a DevOps engineer or pipeline implementation role
Not focused on AIOps or IT operations automation
Key Skills & Traits
Strong architectural leadership and decision-making capability
Ability to define enterprise standards and influence multiple teams
Excellent communication and stakeholder management skills
Ability to translate complex concepts into clear architectural artifacts
Strategic thinking with hands-on technical depth
Education
Bachelor s degree in Computer Science, Engineering, or related field required
Master s degree preferred

Apply