AI Infrastructure Engineer, Speechify

• Experience: 3+ years in Software Engineering or ML Platform/Infrastructure roles, with a focus on distributed systems, cloud services, or MLOps
• Technical Expertise: Proficiency in Python (or similar), containerization (Docker, Kubernetes), CI/CD pipelines, Kubernetes, Cloud proficiency
• Strong knowledge of cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (Terraform, CloudFormation)
• Experience with ML frameworks (TensorFlow, PyTorch, or similar) and orchestration tools (Kubeflow, Airflow, MLflow)
• Deep understanding of data pipelines, model deployment, real-time inference systems, and reliability of AI systems
• Strong communication skills and the ability to work across engineering and data science teams
• Hands-on with CI/CD and Model Serving

Desirable

• We are looking for AI Infrastructure engineer to help build and scale the infrastructure that powers our machine learning initiatives
• In this role, you will design, develop, and optimize the core platforms and services that enable data scientists and ML engineers to train, deploy, and monitor models efficiently
• You’ll partner closely with Data Science, Data Engineering, and Product teams to create a robust, self-service ML ecosystem that accelerates innovation
• Build & Scale AI Infrastructure: Design, implement, and maintain high-performance ML training and inference platforms
• Develop MLOps Tools: Ship tools that allow any ML engineer to deploy a model in minutes, not days
• Optimize Performance: Improve scalability, reliability, and cost efficiency of model training and serving systems
• Collaborate Across Teams: Partner with researchers to turn experimental voice models into production-ready systems
• Ensure Best Practices: Establish standards for model versioning, testing, monitoring, and governance
• Drive Automation: Automate data/model pipelines to reduce manual intervention and speed up experimentation

• Tell us more about yourself and why you're interested in the role when you apply
• And don’t forget to include links to your portfolio and LinkedIn