Requirements
Experience with MLOps, model evaluation, observability, caching and cost optimizationExperience developing scalable SaaS platforms or startup productsKnowledge of PyTorch, TensorFlow, LangChain, LlamaIndex or similar frameworks
Description
Technical Requirements:Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related field4+ years of experience in software engineering, specifically in ML/AI system developmentProven track record of shipping ML models or AI features to productionHands-on experience with the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deploymentExperience with CI/CD for ML systems and model monitoring/observabilityStrong SQL skills and experience with large-scale data processing (Spark, Databricks)Strong understanding of data structures, algorithms, and system designExperience with version control (Git), code review practices, and testing methodologiesAPI development experience (REST/GraphQL) for serving models