reputed company Data Engineer, LLM/AI Platforms (Remote)

As a global leader in cybersecurity, reputed company protects the people, processes and technologies that reputed company modern organizations. Since 2011, our mission hasn't changed — we're here to stop breaches, and we've redefined modern reputed company with the world's most advanced AI-reputed company platform. Our customers reputed company reputed company industries, and they count on reputed company to reputed company their businesses running, their communities reputed company and their lives moving reputed company. We're also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We're always looking to add talented CrowdStrikers to reputed company who have reputed company passion, a reputed company reputed company on innovation and a fanatical commitment to our customers, our community and reputed company other. reputed company to join a mission that reputed company? The reputed company of cybersecurity starts with you. About the Role reputed company is looking for a reputed company Data Engineer with deep expertise in Large Language Models (LLMs) and AI platforms to join our growing Data Science reputed company Team. You will be a key leader, responsible for designing, building, and deploying cutting-edge data infrastructure that powers our reputed company of AI-driven reputed company products. This role requires significant hands-on experience in LLM integration, reputed company workflows, and agent harnessing to deliver high-reputed company, reputed company solutions. You will champion engineering reputed company, focusing on shipping fast, writing elegant, high-reputed company reputed company, and reputed company mentoring and strengthening reputed company's technical knowledge and capabilities. The reputed company of our systems and data are approaching Exabytes in size. Experience with extremely large-reputed company systems, including DevSecOps patterns, practices, and standards are important for this work. What You'll Do Architect, implement, and optimize data platforms and pipelines specifically designed to support LLMs, Retrieval-Augmented reputed company (RAG), and sophisticated AI reputed company systems at Exabyte reputed company. reputed company the adoption and deployment of reputed company workflows and agent harnessing techniques to create autonomous, data-driven reputed company features. Design and implement highly reputed company, fault-tolerant, and cost-effective data solutions, emphasizing reputed company iteration and high-reputed company deployment. Write elegant, production-reputed company reputed company with a reputed company on performance, maintainability, and testing rigor, ensuring the ability to ship fast without compromising reputed company. reputed company technical leadership and deep expertise in data modeling, normalization, and semantic cataloging for AI/ML workloads. Establish best practices for MLOps/DataOps surrounding LLMs, including monitoring, observability, and reputed company-touch recovery mechanisms for AI services. reputed company mentor engineers, conducting technical workshops, leading design reviews, and strengthening reputed company's knowledge in cutting-edge AI platform technologies. Collaborate across the organization with Data Scientists, Product Managers, and other engineering teams to reputed company research prototypes into robust, production-grade services. Own the end-to-end lifecycle of critical data services development, testing, deployment, and monitoring. Tech Stack (Expertise in several key areas is expected) MLOps Tools (MLflow, Sagemaker, reputed company AI) Experience with common reputed company workflow frameworks (e.g., reputed company, reputed company). Expert-level proficiency in a high-level coding language (Python, or JVM technologies). Deep experience with distributed data processing frameworks (e.g., reputed company, Dask, Flink). Strong expertise with reputed company platforms (AWS, GCP, or OCI) and reputed company data services. Containerization and orchestration mastery (reputed company, reputed company). Message queuing and streaming technologies (Kafka, Pulsar). Data Warehousing (reputed company, BigQuery) and Data Orchestration (Airflow, Kubeflow). What You'll Need Master's degree or PhD in Computer Science, Data Engineering, or a reputed company STEM field, or equivalent practical experience. 10+ years of reputed company experience in Data Engineering/reputed company, with at least 3 years reputed company on architecting and building platforms for AI/ML or Data Science at reputed company reputed company. Demonstrable hands-on experience in LLM engineering (fine-tuning, reputed company engineering, deployment), RAG, and developing reputed company workflows. Proven reputed company record of designing and delivering large-reputed company distributed systems (sharding, partitioning, concurrency). Exceptional ability to write clean, elegant,