Senior Software Engineer – AI/ML Platform

4+ years of experience as a software engineer At least 2 years focused on low latency and highly available backend systems Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field Strong fundamentals in data structures, algorithms, and distributed computing principles Strong analytical and problem-solving skills, with a passion for AI and machine learning Strong programming skills in Python Hands-on experience with model systems including low latency model serving, registry, and pipeline orchestration (preferably SageMaker) Solid understanding of MLOps best practices Experience building and maintaining CI/CD pipelines for ML workflows Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn Experience with database technologies (SQL, NoSQL, or data warehouses like Snowflake or Redshift)

Build and maintain scalable systems and infrastructure for deploying and serving ML models. Design low-latency, fault-tolerant model inference systems using Amazon SageMaker. Implement safe deployment strategies like blue/green deployments and rollbacks. Create and manage CI/CD pipelines for ML workflows. Monitor model performance and system health using AWS observability tools. Develop internal tools and APIs to help ML teams deploy and monitor models easily. Collaborate with ML engineers, data scientists, and DevOps to productionize new models. Participate in code reviews, system design, and platform roadmap discussions. Continuously improve deployment reliability, speed, and usability of the ML platform.