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Senior MLOps Engineer

Altitude Technology Solutions Inc

Remote or Phoenix, Arizona • Today

Easy Apply

Contract

$50 - $55

Senior MLOps Engineer

Judge Group, Inc.

Phoenix, Arizona • Today

Contract

USD 65.00 - 70.00 per hour

Senior MLOps Engineer / Databricks / AWS Bedrock / Remote

Motion Recruitment Partners, LLC

Remote or Chicago, Illinois • Today

Easy Apply

Contract

$50 - $80

Senior MLOps Engineer (Remote)

Kohls Department Stores

Remote or Menomonee Falls, Wisconsin • Today

Full-time

Senior AIML Engineer

Raas Infotek LLC

Remote or Hybrid in Texas City, Texas • Today

Easy Apply

Contract

60 - 65

Senior Platform Engineer

Quantiphi Inc.

Remote • Today

Full-time

Senior Data DevOps Engineer

EPAM Systems

Remote • 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

MLOps
Python
sql
CI/CD pipelines

Summary

Role: Senior MLOps Engineer Contract Length: through the end of the year, may be potential for extension
Start date: ASAP
Location: Hybrid Phoenix, AZ Preferred (Considered)
Position Overview
We are seeking a Senior MLOps Engineer for our client to help design, build, and scale a new enterprise machine learning operations platform. This is a unique opportunity to establish foundational MLOps capabilities from the ground up, creating the frameworks, standards, and automation required to support production machine learning workloads at scale.

The ideal candidate will be a hands-on builder with expertise in machine learning operations, CI/CD, model lifecycle management, and cloud-native data platforms. This role will work closely with Data Science and Data Engineering teams to transform experimental models into reliable, governed, and production-ready services.

The platform is being developed on a modern data architecture utilizing curated data layers and governed data products to support scalable, repeatable model development and deployment.
Key Responsibilities

Design and implement a scalable MLOps platform supporting enterprise machine learning initiatives.
Build reusable frameworks and pipelines for model training, validation, deployment, inference, monitoring, and maintenance.
Develop workflows that ensure machine learning solutions consume trusted, governed, and production-ready data assets.
Establish model lifecycle management practices, including versioning, approval processes, promotion workflows, rollback mechanisms, and lineage tracking.
Partner with Data Scientists to operationalize machine learning models and accelerate the transition from experimentation to production.
Implement monitoring and observability capabilities for model performance, drift detection, data quality, bias monitoring, and service reliability.
Automate model retraining and refresh processes using orchestration and workflow automation technologies.
Collaborate with Data Engineering teams to ensure feature engineering pipelines are reliable, reusable, and aligned with evolving data architecture standards.
Define and implement CI/CD standards for machine learning assets, including code, data, configurations, and models.
Establish governance practices supporting security, compliance, auditability, reproducibility, and responsible AI initiatives.
Create operational documentation, technical standards, runbooks, and developer enablement materials.
Help mature the platform from an initial framework into a scalable enterprise capability.

Required Qualifications

5+ years of experience in Machine Learning Engineering, MLOps, Platform Engineering, or a similar technical discipline.
Strong development experience with Python and SQL.
Demonstrated success building and supporting production machine learning pipelines.
Experience with model deployment, versioning, governance, monitoring, retraining, drift detection, and lifecycle management.
Experience implementing CI/CD pipelines and automated testing frameworks for machine learning environments.
Knowledge of feature engineering processes, training-serving consistency, and data quality controls.
Experience working with cloud platforms and related services; AWS experience is highly desirable.
Strong communication and stakeholder engagement skills with the ability to collaborate across Data Science, Data Engineering, and business teams.
Ability to explain, justify, and influence technical architecture and platform decisions.

Preferred Qualifications

Experience with Snowflake-based machine learning capabilities, including Snowpark, Model Registry, Feature Store, or similar native ML tooling.
Experience designing solutions within medallion, lakehouse, or layered data architectures.
Knowledge of GitHub Actions and YAML-based CI/CD workflows.
Experience with orchestration and transformation tools such as Airflow, dbt, or comparable technologies.
Familiarity with real-time or near real-time inference architectures.
Experience building greenfield platforms and establishing operational standards from the ground up.
Background supporting large-scale operational environments such as logistics, transportation, fleet management, route optimization, manufacturing, utilities, or other high-volume industries.

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: 91163703
Position Id: 9109610
Posted 5 hours ago

Fitment

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Contact the job poster

Ravi Sharma

Recruiter @ Altitude Technology Solutions Inc

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Similar Jobs

Senior MLOps Engineer

Phoenix, Arizona

•

Today

Location: Phoenix, AZ Salary: $65.00 USD Hourly - $70.00 USD Hourly Description: Please send resumes to Senior MLOps Engineer About the Role We are seeking a Senior MLOps Engineer to help build and scale an enterprise Machine Learning Operations platform that enables the delivery of reliable, secure, and production-ready AI/ML solutions. In this role, you will establish the foundational frameworks, automation, governance, and deployment standards that support machine learning across the orga

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USD 65.00 - 70.00 per hour

Lead AI/ML Engineer Remote Nationwide or Office-Based in MN/DC

Remote or Tempe, Arizona

•

Today

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health op

Full-time

USD 145,500.00 - 249,500.00 per year

MLOps Engineer // REMOTE / Work-Life Balance

Remote

•

Today

An industry-leading technology and analytics organization is hiring an AI/ML Operations Engineer to support its rapidly growing artificial intelligence initiatives. This full-time opportunity offers the chance to work with modern cloud technologies, machine learning platforms, containerized environments, and production AI systems. The ideal candidate will have experience deploying machine learning solutions, building cloud infrastructure, and supporting MLOps best practices across enterprise env

Easy Apply

Contract

$60 - $70

MLOps Engineer

Remote or Hybrid

•

Today

looking for a Senior Software / ML Engineer with strong MLOps experience who can help bridge the gap between traditional data science work and production engineering. This team has historically operated more like a traditional Data Science organization, with models being developed and trained primarily in Databricks. The team is now evolving toward a stronger engineering model where those machine learning outputs need to be operationalized and made available to real production systems. The ide

Easy Apply

Contract

$90-$95

Job Details

Skills

MLOps
Python
sql
CI/CD pipelines

Summary

Design and implement a scalable MLOps platform supporting enterprise machine learning initiatives.
Build reusable frameworks and pipelines for model training, validation, deployment, inference, monitoring, and maintenance.
Develop workflows that ensure machine learning solutions consume trusted, governed, and production-ready data assets.
Establish model lifecycle management practices, including versioning, approval processes, promotion workflows, rollback mechanisms, and lineage tracking.
Partner with Data Scientists to operationalize machine learning models and accelerate the transition from experimentation to production.
Implement monitoring and observability capabilities for model performance, drift detection, data quality, bias monitoring, and service reliability.
Automate model retraining and refresh processes using orchestration and workflow automation technologies.
Collaborate with Data Engineering teams to ensure feature engineering pipelines are reliable, reusable, and aligned with evolving data architecture standards.
Define and implement CI/CD standards for machine learning assets, including code, data, configurations, and models.
Establish governance practices supporting security, compliance, auditability, reproducibility, and responsible AI initiatives.
Create operational documentation, technical standards, runbooks, and developer enablement materials.
Help mature the platform from an initial framework into a scalable enterprise capability.

Required Qualifications

5+ years of experience in Machine Learning Engineering, MLOps, Platform Engineering, or a similar technical discipline.
Strong development experience with Python and SQL.
Demonstrated success building and supporting production machine learning pipelines.
Experience with model deployment, versioning, governance, monitoring, retraining, drift detection, and lifecycle management.
Experience implementing CI/CD pipelines and automated testing frameworks for machine learning environments.
Knowledge of feature engineering processes, training-serving consistency, and data quality controls.
Experience working with cloud platforms and related services; AWS experience is highly desirable.
Strong communication and stakeholder engagement skills with the ability to collaborate across Data Science, Data Engineering, and business teams.
Ability to explain, justify, and influence technical architecture and platform decisions.

Preferred Qualifications

Experience with Snowflake-based machine learning capabilities, including Snowpark, Model Registry, Feature Store, or similar native ML tooling.
Experience designing solutions within medallion, lakehouse, or layered data architectures.
Knowledge of GitHub Actions and YAML-based CI/CD workflows.
Experience with orchestration and transformation tools such as Airflow, dbt, or comparable technologies.
Familiarity with real-time or near real-time inference architectures.
Experience building greenfield platforms and establishing operational standards from the ground up.
Background supporting large-scale operational environments such as logistics, transportation, fleet management, route optimization, manufacturing, utilities, or other high-volume industries.

Dice Id: 91163703
Position Id: 9109610
Posted 5 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

Ravi Sharma

Recruiter @ Altitude Technology Solutions Inc

View Profile

Create job alert

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

Similar Jobs

Senior MLOps Engineer

Phoenix, Arizona

•

Today

Contract

USD 65.00 - 70.00 per hour

Lead AI/ML Engineer Remote Nationwide or Office-Based in MN/DC

Remote or Tempe, Arizona

•

Today

Full-time

USD 145,500.00 - 249,500.00 per year

MLOps Engineer // REMOTE / Work-Life Balance

Remote

•

Today

Easy Apply

Contract

$60 - $70

MLOps Engineer

Remote or Hybrid

•

Today

Easy Apply

Contract

$90-$95