Senior MLOps Engineer / Databricks / AWS Bedrock / Remote

Summary

Dice is seeking a Mid-Level AI/ML Ops Engineer to support and scale AI initiatives across the business. The role focuses on deploying machine learning solutions into secure, reliable production environments using AWS, Databricks, Docker, Kubernetes, CI/CD pipelines, and AI platforms, while improving platform reliability and supporting production operations.

Responsibilities

• 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

Skills

• 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
• Applicants must be currently authorized to work in the United States on a full-time basis now and in the future
• 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

Qualifications

Must Haves

• 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
• Applicants must be currently authorized to work in the United States on a full-time basis now and in the future

Nice to Haves

• 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

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