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Senior MLOps Engineer – AWS

Amtex Systems Inc.

Remote • Today

Easy Apply

Full-time, Third Party

Depends on Experience

Senior MLOps Engineer / Databricks / AWS Bedrock / Remote

Motion Recruitment Partners, LLC

Remote or Chicago, Illinois • Today

Easy Apply

Contract

$50 - $80

Senior MLOps Engineer

Unum

Chattanooga, Tennessee • Today

Full-time

USD 89,400.00 - 183,500.00 per year

Senior MLOps Engineer

Unum Group

Chattanooga, Tennessee • Yesterday

Full-time

USD 89,400.00 - 183,500.00 per year

W2 - 10+ Senior Lead Machine Learning Engineer (MLOps & Data Platform)

Prohires

Remote • 2d ago

Easy Apply

Contract

Depends on Experience

Lead MLOps Engineer (Remote in MA)

Motion Recruitment Partners, LLC

Remote or Cambridge, Massachusetts • Today

Easy Apply

Full-time

$200000 - $250000

Lead MLOps Engineer (Remote EST)

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Full-time

$200000 - $250000

Senior Data DevOps Engineer

EPAM Systems

Remote • Today

Full-time

Senior Platform Engineer

Quantiphi Inc.

Remote • Today

Full-time

Senior MLOps Engineer (Remote)

Kohls Department Stores

Remote or Menomonee Falls, Wisconsin • Today

Full-time

Senior, ML Engineer - VLM

Torc Robotics

Remote or Ann Arbor, Michigan • Today

Full-time

USD 177,300.00 - 212,800.00 per year

Senior Site Reliability Engineer

SecurityScorecard

Remote or Arkansas • Today

Full-time

USD 152,000.00 - 195,000.00 per year

Job Details

Skills

AWS
Machine learning

Summary

Amtex Systems Inc is an information technology and talent solutions company offering talent and BI consulting to the companies in US for over 25 years.

Our solutions are designed to fill resource gaps, by providing the right candidates who deliver value to the organization. Our propensity to nurture and build strong relationships with our clients helps us better understand their business demands and gives us the ability to provide services that are on time and rise above the rest.

Title: Senior MLOps Engineer – AWS

Location: Remote

Duration: Fulltime

Job Description:

Design, build, and deploy machine learning models into production AWS environments, primarily leveraging Amazon SageMaker or comparable AWS hosting solutions.
Package and operationalize trained models developed in Databricks or other ML development environments.
Build and integrate model-serving solutions using AWS Lambda, API Gateway, and other AWS services.
Develop and maintain infrastructure as code using Terraform to provision and manage cloud resources.
Design and implement CI/CD pipelines to automate model deployment, testing, versioning, and releases.
Implement production monitoring, logging, and alerting using Amazon CloudWatch.
Troubleshoot production issues related to model performance, application integration, infrastructure, and service availability.
Partner with cloud infrastructure, networking, and security teams to ensure compliance with enterprise standards.
Support real-time and batch inference solutions, including potential migration from batch processing to real-time serving.
Establish reusable deployment frameworks, documentation, and operational runbooks.
Mentor and collaborate with internal engineers to transfer knowledge and establish sustainable MLOps practices.

Required Qualifications

Proven hands-on experience personally deploying and supporting machine learning models in production AWS environments.
Strong experience with AWS services, particularly SageMaker, Lambda, API Gateway, and CloudWatch.
Hands-on Terraform experience provisioning and managing AWS infrastructure.
Experience building or maintaining CI/CD pipelines for machine learning or cloud application deployments.
Understanding of model packaging, hosting, inference endpoints, and application integration.
Experience troubleshooting production systems and supporting deployed ML applications.
Knowledge of AWS networking, IAM, VPC configurations, and enterprise security requirements.
Strong software engineering fundamentals and experience collaborating with cloud and platform engineering teams.
Ability to communicate technical concepts, explain architectural decisions, and document solutions.
Experience working within large enterprise environments with established security and infrastructure controls.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10109999
Position Id: 21405-12713-1792689462
Posted 11 hours ago

Fitment

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Contact the job poster

Puneet Soni

Recruiter @ Amtex Systems Inc.

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Remote or Chicago, Illinois

•

Today

An innovative data-driven marketing and technology organization is seeking a Mid-Level AI/ML Ops Engineer to help support and scale AI initiatives across the business. This full-time opportunity offers the chance to work with modern cloud technologies including AWS, Databricks, Docker, Kubernetes, CI/CD pipelines, and AI-powered platforms while helping deploy machine learning solutions into secure and reliable production environments. This is an excellent opportunity for an operations-minded eng

Easy Apply

Contract

$50 - $80

Lead MLOps Engineer (Remote EST)

Remote

•

Today

Job Description A remote-first technology company transforming how organizations operationalize artificial intelligence is seeking a Lead MLOps Engineer to join its growing engineering team. Candidates must be based within the Eastern Time Zone to support collaboration across product, engineering, and leadership stakeholders. This is a senior-level opportunity for an engineer who has built and operated machine learning platforms that support real-world production workloads. Rather than focusing

Easy Apply

Full-time

$200000 - $250000

Staff MLOps Engineer (Remote in RI)

Remote or Providence, Rhode Island

•

Today

Job Description An innovative organization delivering cutting-edge AI, machine learning, and cloud data solutions is looking for a Staff MLOps Engineer to join its fully remote team. This opportunity is specifically targeting professionals located in Rhode Island who thrive on building scalable machine learning infrastructure and enabling production-ready AI systems. This role is designed for an experienced engineer who enjoys solving complex technical challenges at the intersection of cloud pl

Easy Apply

Full-time

$200000 - $240000

Senior AI Agent Developer with AWS, Databricks

Remote

•

Today

We are looking for a hands-on Senior AI Agent Developer to build, deploy, and maintain ML/AI solutions in production, bringing strong end-to-end experience from model development through deployment, monitoring, and scaling. Responsibilities Design, build, and optimize ML/AI models and pipelines Deploy models to production, ensuring scalability, reliability, and performance Build and maintain MLOps workflows, including CI/CD, model monitoring, and retraining Work with large-scale data to engineer

Full-time

Job Details

Skills

AWS
Machine learning

Summary

Amtex Systems Inc is an information technology and talent solutions company offering talent and BI consulting to the companies in US for over 25 years.

Title: Senior MLOps Engineer – AWS

Location: Remote

Duration: Fulltime

Job Description:

Design, build, and deploy machine learning models into production AWS environments, primarily leveraging Amazon SageMaker or comparable AWS hosting solutions.
Package and operationalize trained models developed in Databricks or other ML development environments.
Build and integrate model-serving solutions using AWS Lambda, API Gateway, and other AWS services.
Develop and maintain infrastructure as code using Terraform to provision and manage cloud resources.
Design and implement CI/CD pipelines to automate model deployment, testing, versioning, and releases.
Implement production monitoring, logging, and alerting using Amazon CloudWatch.
Troubleshoot production issues related to model performance, application integration, infrastructure, and service availability.
Partner with cloud infrastructure, networking, and security teams to ensure compliance with enterprise standards.
Support real-time and batch inference solutions, including potential migration from batch processing to real-time serving.
Establish reusable deployment frameworks, documentation, and operational runbooks.
Mentor and collaborate with internal engineers to transfer knowledge and establish sustainable MLOps practices.

Required Qualifications

Proven hands-on experience personally deploying and supporting machine learning models in production AWS environments.
Strong experience with AWS services, particularly SageMaker, Lambda, API Gateway, and CloudWatch.
Hands-on Terraform experience provisioning and managing AWS infrastructure.
Experience building or maintaining CI/CD pipelines for machine learning or cloud application deployments.
Understanding of model packaging, hosting, inference endpoints, and application integration.
Experience troubleshooting production systems and supporting deployed ML applications.
Knowledge of AWS networking, IAM, VPC configurations, and enterprise security requirements.
Strong software engineering fundamentals and experience collaborating with cloud and platform engineering teams.
Ability to communicate technical concepts, explain architectural decisions, and document solutions.
Experience working within large enterprise environments with established security and infrastructure controls.

Dice Id: 10109999
Position Id: 21405-12713-1792689462
Posted 11 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Puneet Soni

Recruiter @ Amtex Systems Inc.

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Remote or Chicago, Illinois

•

Today

Easy Apply

Contract

$50 - $80

Lead MLOps Engineer (Remote EST)

Remote

•

Today

Easy Apply

Full-time

$200000 - $250000

Staff MLOps Engineer (Remote in RI)

Remote or Providence, Rhode Island

•

Today

Easy Apply

Full-time

$200000 - $240000

Senior AI Agent Developer with AWS, Databricks

Remote

•

Today

Full-time

Senior MLOps Engineer – AWS

Skills

Summary

Dice Job Match Score™

Puneet Soni

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Senior MLOps Engineer – AWS

Job Details

Skills

Summary

Dice Job Match Score™

Puneet Soni

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