MLOps Engineer // REMOTE / Work-Life Balance

Summary

Motion Recruitment is hiring an AI/ML Operations Engineer to support growing artificial intelligence initiatives across enterprise environments. The role focuses on deploying machine learning solutions, building cloud infrastructure, managing containerized environments, automating CI/CD pipelines, and supporting production AI systems through monitoring and reliability practices.

Responsibilities

• 40% Cloud Infrastructure (AWS, Databricks)
• 25% Kubernetes & Container Management
• 20% CI/CD & Deployment Automation
• 15% Monitoring, Observability & Reliability
• 80% Hands On Engineering
• 5% Strategic Planning
• 15% Team Collaboration

Skills

• 3+ years of experience in MLOps, Platform Engineering, or Infrastructure Engineering
• Experience deploying machine learning models into production environments
• Strong Python development and scripting skills
• Hands-on experience with AWS cloud services
• Experience with Databricks or comparable data/AI platforms
• Experience building and maintaining CI/CD pipelines
• Docker and Kubernetes experience
• Monitoring, observability, and incident response experience
• Bachelor's Degree in Computer Science, Engineering, or related field (or equivalent experience)
• Applicants must be currently authorized to work in the US on a full-time basis now and in the future
• Exposure to large language models (LLMs) and generative AI systems
• Experience with AI cost optimization and resource management
• SQL and data analytics experience
• Infrastructure-as-Code experience
• Model versioning and reproducibility knowledge
• Experience supporting enterprise-scale AI workloads

Qualifications

Must Haves

• 3+ years of experience in MLOps, Platform Engineering, or Infrastructure Engineering
• Experience deploying machine learning models into production environments
• Strong Python development and scripting skills
• Hands-on experience with AWS cloud services
• Experience with Databricks or comparable data/AI platforms
• Experience building and maintaining CI/CD pipelines
• Docker and Kubernetes experience
• Monitoring, observability, and incident response experience
• Bachelor's Degree in Computer Science, Engineering, or related field (or equivalent experience)
• Applicants must be currently authorized to work in the US on a full-time basis now and in the future

Nice to Haves

• Exposure to large language models (LLMs) and generative AI systems
• Experience with AI cost optimization and resource management
• SQL and data analytics experience
• Infrastructure-as-Code experience
• Model versioning and reproducibility knowledge
• Experience supporting enterprise-scale AI workloads

Benefits

• Medical, Dental, and Vision Insurance
• Career Development Opportunities