About this opportunity
Motion Recruitment Partners LLC lists this Senior MLOps Engineer / Databricks / AWS Bedrock / Remote opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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 engineer who enjoys solving production challenges and improving platform reliability. The organization has built a strong reputation for investing in employee development, fostering collaboration, and creating an environment where engineers can deepen their expertise in AI infrastructure, cloud platforms, and MLOps best practices. You'll have direct exposure to cutting-edge AI projects and the opportunity to help shape operational standards as AI adoption continues to grow.
Required Skills & Experience
3-5 years of experience in MLOps, DevOps, Cloud Engineering, Platform Engineering, or similar roles
Experience deploying machine learning models into production environments
Strong knowledge of AWS cloud services
Experience with Databricks
Hands-on experience with Docker and Kubernetes
Proficiency in Python
Experience building and maintaining CI/CD pipelines
Familiarity with monitoring and observability platforms
Experience supporting production environments and troubleshooting incidents
Bachelor's degree in Computer Science, Engineering, or equivalent experience
Desired Skills & Experience
Experience with AWS Bedrock, SageMaker, or other AI platforms
Exposure to large language model deployment and optimization
Knowledge of model monitoring and drift detection
SQL and data analytics experience
Infrastructure as Code experience
Experience supporting highly scalable cloud applications
What You Will Be Doing Tech Breakdown
40% AWS Cloud Infrastructure
25% Kubernetes & Container Platforms
20% CI/CD & Automation
15% Monitoring, Observability & Support
Daily Responsibilities
75% Hands-On Engineering
5% Management Duties
20% Team Collaboration
The Offer
Bonus Eligible
You will receive the following benefits:
Medical, Dental, and Vision Insurance
401(k) Program
Paid Vacation & Holidays
Professional Development Opportunities
Life Insurance
Employee Assistance Programs
Flexible Work Environment
Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.
#LI-DK1
#J-18808-Ljbffr
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.