Senior Software Engineer, AI Platform

3-4 years of experience in software engineering, DevOps, or related field with a focus on ML systems Experience with ML frameworks Experience with cloud platforms, preferably AWS Experience with container runtime architectures, preferably Kubernetes Proficiency with at least one programming language, preferably Python or Typescript Familiarity with CI/CD practices and tools Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation Strong understanding of distributed systems and microservices architecture

Design and implement infrastructure for ML model management (training, deployment, monitoring) Build and maintain platforms for running ML algorithms at scale Develop systems for A/B testing, performance monitoring, and continuous model training Create and manage ETL infrastructure for ML workflows Implement MLOps best practices (version control for models and datasets) Collaborate with ML Engineers to optimize model performance and resource utilization Ensure scalability, reliability, and security of ML systems Stay current with MLOps and cloud technology advancements Contribute to internal tools and frameworks for ML workflow efficiency