Senior MLOps Engineer​/Databricks​/AWS Bedrock​/Remote

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.

• 3-5 years of experience in MLOps, Dev Ops, 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

• Experience with AWS Bedrock, Sage Maker, 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

• 40% AWS Cloud Infrastructure
• 25% Kubernetes & Container Platforms
• 20% CI/CD & Automation
• 15% Monitoring, Observability & Support

• 75% Hands-On Engineering
• 5% Management Duties
• 20% Team Collaboration

• Bonus Eligible

• 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.

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