Job Description

We are seeking a highly skilled Core ML Engineer to design, develop, and optimize machine learning systems that power next-generation AI platforms and applications. This role focuses on model development, inference optimization, and scalable ML infrastructure, enabling production-grade AI capabilities across enterprise systems.The ideal candidate combines strong software engineering fundamentals with deep ML expertise, and thrives in building robust, high-performance systems at scale.  Key ResponsibilitiesCore ML System DevelopmentDesign and implement machine learning models and pipelines for production useBuild scalable training evaluationdeployment workflowsDevelop reusable ML components, libraries, and frameworksInference & Performance OptimizationOptimize model inference for latency, throughput, and costImplement advanced techniques such as caching, quantization, batching, and routingBenchmark and profile models across diverse workloads and hardware environmentsModel Integration & DeploymentIntegrate ML/LLM models into APIs, microservices, and applicationsBuild and maintain model-serving infrastructure (e.g., vLLM, ONNX, custom runtimes)Collaborate with platform and infrastructure teams for scalable deploymentData & Pipeline EngineeringDesign data pipelines for ingestion, preprocessing, feature engineering, and validationImprove data quality and model reliability through systematic evaluationCross-functional CollaborationPartner with product, platform, and hardware teams to deliver end-to-end ML solutionsParticipate in design reviews and contribute to system architecture decisions