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Lead enterprise AI and machine learning initiatives that improve site reliability, operational efficiency, and product development across AWS. The role combines ML model development, scalable AI pipelines, Generative AI, and strategic stakeholder influence.
Bosch is seeking an MLOps Engineer to design and build a self-service MLOps platform for the full machine learning lifecycle in a cloud environment. The role combines ML platform engineering, infrastructure automation, security, monitoring, and reproducible model development.
Lead the technical direction for production machine learning systems at OpenTable, taking models from experimentation through reliable, monitored deployment. You’ll build high-throughput ML services, establish engineering standards, and guide cross-team platform and MLOps initiatives.
Senior backend engineer leading the architecture and development of Swiggy’s real-time Trust & Safety platform for fraud and abuse detection. The role combines low-latency distributed systems, risk decisioning, production ML, and technical leadership.
Senior Software Engineer building large-scale recommendation, personalization, retrieval, and search-quality systems for Google Discover. The role applies deep learning and LLM techniques to user understanding and content retrieval across multiple formats.
Build production machine-learning components for a zero-to-one exploitability engine that ranks security work by realistic attack paths. This role combines ML engineering, graph and evidence systems, and AI-powered security problem solving.
Lead the development of AI- and data-science applications that improve data quality across MSCI’s platforms. This senior role focuses on machine learning, NLP, anomaly detection, and production-scale AI solutions while providing technical leadership to the team.
GPU Kernel Engineer designing and optimizing custom kernels that accelerate large-scale AI training and inference. The role spans low-level GPU programming, ML framework integration, and performance optimization across NVIDIA and AMD hardware.
Build and operate the backend inference and orchestration systems powering reliable, low-latency AI features across mobile and desktop products. You will own production APIs, model-serving workflows, and reliability at scale.
Technical Director, Large-Scale AI Model Inferencing is a hands-on technical authority defining memory-centric inference solutions for frontier AI models at production scale. The role connects model architecture, inference software, GPU and memory systems, and product strategy to improve capacity, performance, and cost.
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