Jobs → Engineering → ML Engineer

About the Role We are seeking a Senior Machine Learning Engineer to join a centralized AI Engineering team responsible for designing, building, and supporting enterprise AI, machine learning, and generative AI solutions across the organization. This team enables a wide range of initiatives spanning traditional machine learning, generative AI, agentic AI, and enterprise-scale AI platforms. Key Responsibilities • Build and maintain CI/CD pipelines, infrastructure-as-code deployments, model serving frameworks, and automated operational processes. • Develop integration patterns connecting AI applications to enterprise systems, APIs, data platforms, and business workflows. • Implement monitoring, observability, model performance tracking, and SLA management for production AI systems. Optimize AI applications for scalability, reliability, latency, cost, and overall production performance. Requirements • 5+ years of experience in Machine Learning Engineering, AI Platform Engineering, Software Engineering, or Cloud Engineering. • Strong hands-on AWS experience including SageMaker, ECS, API Gateway, IAM, CloudWatch, and cloud-native application design. • Experience designing and deploying production machine learning or generative AI applications. • Experience building and supporting real-time inference systems and distributed cloud applications. • Strong Python development experience and software engineering fundamentals. • Experience building CI/CD pipelines, containerized applications, and infrastructure automation. • Experience with feature stores, streaming data architectures, and machine learning operationalization. • Experience supporting production environments through monitoring, observability, troubleshooting, and performance optimization. • Strong communication skills with the ability to work across engineering, product, and data science teams.