Lead Forward Deployed Engineer / AWS / Python
A global organization specializing in performance-driven business solutions, combining strategic marketing, technology, data analytics, and artificial intelligence. The company partners with large enterprises to support business growth through innovative digital solutions, data-informed strategies, and advanced analytical capabilities. It has an established international workforce and a strong reputation for fostering an innovative, collaborative, and employee-focused workplace culture. Searching for a Machine Learning Operations Engineer, this person will build CI/CD pipelines, manage cloud infrastructure, monitor production AI systems, and ensure machine learning models are deployed reliably and securely at scale. You'll partner directly with AI Engineers and technical leadership while remaining highly hands-on with cutting-edge AI technologies. Required Skills & Experience Bachelor's degree in computer science, engineering or a related field, or comparable experience 3-5 years of experience in DevOps, MLOps, data engineering, or a related infrastructure/operations role Databricks Cloud AI platforms (AWS preferred, including familiarities with services like Bedrock) Python and familiarity with CI/CD tooling Experience monitoring and observability tolling for production systems Desired Skills & Experience Familiarity with LLM deployment considerations (latency, cost, versioning) Solid understanding of data analytics fundamentals; experience with SQL What You Will Be Doing Tech Breakdown 22% AWS 18% Python 15% Docker/Kubernetes 13% CI/CD tools 10% Databricks 10% Monitoring/observability 5% SQL 7% Other (Git, documentation, troubleshooting) Daily Responsibilities 20% Cloud infrastructure management 18% CI/CD pipeline development and maintenance 17% AI/ML model deployment and management 15% Monitoring and observability 12% Troubleshooting and production support 8% Automation and Python scripting 5% Cost and performance optimization 5% Documentation and collaboration