Lead and mentor a team of MLOps engineers to define the infrastructure roadmap and establish operational best practices. Architect scalable ML pipelines, model serving infrastructure, and monitoring strategies to bridge the gap between research and production.
Fundamental
9 Remote Job Openings at Fundamental
Own the end-to-end reliability, performance, and scalability of Extensions capabilities within the NEXUS backend. Design distributed workflows and collaborate with data scientists to translate complex requirements into production-grade engineering implementations.
Research and develop data science methods to improve the predictive performance of the NEXUS Large Tabular Model across diverse enterprise datasets. Collaborate with R&D and Engineering teams to ship production-grade Python components and validate approaches on real customer data.
Facilitate the adoption of the NEXUS Large Tabular Model by deploying production use cases and proving ROI against legacy baselines. Act as a technical bridge between customers and internal product teams to translate field insights into the product roadmap.
Develop and optimize a large neural network-based tabular model, focusing on performance bottlenecks and memory efficiency. Rewrite critical Python components in Rust or C++ to improve latency and throughput across ML pipelines.
Manage and grow the social presence of the company and its executive leadership team on LinkedIn and X. Develop high-quality, opinion-driven content and digital narratives that resonate with enterprise technology audiences and AI leaders.
You will develop robust backend services and APIs for model inference while designing responsive, user-friendly frontends for model interaction. Additionally, you will collaborate with MLOps and DevOps teams to optimize system architecture and ensure reliable data integration.
Lead and mentor a team of DevOps engineers while defining the infrastructure roadmap and cloud architecture. Partner with cross-functional teams to optimize infrastructure for AI model training, production SaaS hosting, and enterprise deployment models.
You will design, build, and maintain production model serving infrastructure for the NEXUS Large Tabular Model using Triton Inference Server. This role involves optimizing inference pipelines for latency and throughput while managing resource observability and performance tuning.