Senior MLOps Engineer / Databricks / AWS Bedrock / Remote

About the role

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.

Responsibilities

• Deploy machine learning models into production environments
• Support production environments and troubleshoot incidents
• Maintain and improve CI/CD pipelines
• Manage and scale AWS cloud infrastructure
• Operate and optimize Kubernetes and container platforms
• Monitor systems and ensure observability across platforms

Requirements

• 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
• Hands-on experience with Docker and Kubernetes
• Proficiency in Python
• Experience building and maintaining CI/CD pipelines
• Familiarity with monitoring and observability platforms
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience

Qualifications

• 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

Benefits

• Medical, Dental, and Vision Insurance
• 401(k) Program
• Paid Vacation & Holidays
• Professional Development Opportunities
• Life Insurance
• Employee Assistance Programs
• Flexible Work Environment