MLOps Engineer // REMOTE / Work-Life Balance Motion Recruitment - 3.7 Detroit, MI Job Details Contract 22 hours ago Benefits Health insurance Dental insurance Vision insurance Qualifications Containerization systems Performance monitoring Continuous Delivery (CD) implementation IT system monitoring AWS Model deployment Incident management operations support Production monitoring Monitoring system implementation Cloud automation Cloud solution engineering DevOps automation Cloud monitoring Python Full Job Description An industry-leading technology and analytics organization is hiring an AI/ML Operations Engineer to support its rapidly growing artificial intelligence initiatives. This full-time opportunity offers the chance to work with modern cloud technologies, machine learning platforms, containerized environments, and production AI systems. The ideal candidate will have experience deploying machine learning solutions, building cloud infrastructure, and supporting MLOps best practices across enterprise environments. This is an excellent opportunity for someone who wants to be at the center of real-world AI deployment without being confined to research-focused responsibilities. The organization is investing heavily in AI innovation and is seeking an engineer who can help bridge development and operations. Team members are encouraged to grow their expertise, influence best practices, and help scale cutting-edge AI capabilities used across diverse client engagements. Required Skills & Experience 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) Desired Skills & Experience 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 What You Will Be Doing Tech Breakdown 40% Cloud Infrastructure (AWS, Databricks) 25% Kubernetes & Container Management 20% CI/CD & Deployment Automation 15% Monitoring, Observability & Reliability Daily Responsibilities 80% Hands On Engineering 5% Strategic Planning 15% Team Collaboration The Offer Competitive hourly rate You will receive the following benefits: Medical, Dental, and Vision Insurance Career Development Opportunities Applicants must be currently authorized to work in the US on a full-time basis now and in the future. #LI-CD1