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Keypixel Software Solutions

Cincinnati, Ohio • Yesterday

Easy Apply

Contract

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 (Remote)

Kohls Department Stores

Remote or Menomonee Falls, Wisconsin • Today

Full-time

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

Continuous Delivery
Continuous Integration
Docker
IBM DB2
Amazon Web Services
Apache Kafka
Data Integration
Amazon ECR
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Amazon S3
Python
Risk Management
Training
SQL
Snow Flake Schema
Amazon SageMaker
Kubernetes
Mentorship
Terraform
Testing

Summary

Senior MLOps Engineer

Introduction:

As a Senior MLOps Engineer, you will be responsible for overseeing the deployment, monitoring, and maintenance of machine learning models in a production environment. You will work closely with data scientists, machine learning engineers, and software developers to ensure seamless integration of machine learning models into operational systems.

Responsibilities:

Implement and maintain continuous integration and continuous delivery processes for machine learning models
Utilize tools such as Docker, Kubernetes, and Terraform for containerization and infrastructure as code
Deploy machine learning models using AWS SageMaker and manage model pipelines
Ensure model governance and risk management practices are in place
Collaborate with data integration teams to streamline data pipelines
Monitor production systems for performance and reliability
Provide mentorship and training to data scientists on best practices for model deployment
Conduct testing and rollback procedures as needed

Requirements:

Required Skills:

Experience with Continuous Delivery and Continuous Integration
Proficiency in Docker, IBM DB2, Amazon Web Services, Apache Kafka, and Data Integration
Knowledge of Machine Learning (ML) and Machine Learning Operations (MLOps)
Familiarity with Amazon ECR, Amazon S3, Python, Risk Management, Training, SQL, and Snow Flake Schema

Preferred Skills:

Experience with Amazon SageMaker, Kubernetes, and Terraform
Ability to conduct testing and ensure production monitoring
Experience in regulated environments

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: 90962207
Position Id: 9105802
Posted 1 day ago

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Contact the job poster

Uday Kiran

Recruiter @ Keypixel Software Solutions

View Profile

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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

•

18d ago

Role: ML Ops Engineer Duration: Full time Location: Remote Overview Seeking an experienced ML Ops Engineer to build and operate scalable ML infrastructure supporting predictive models, NLP, and LLM applications in a healthcare environment. The role focuses on automation, deployment, monitoring, governance, and HIPAA-compliant ML operations. Key Responsibilities Build automated ML training, evaluation, and deployment pipelines using MLflow, Databricks Workflows, and AWS SageMaker.Manage model ser

Easy Apply

Full-time

Depends on Experience

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

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