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Design and operate scalable DevOps/MLOps platforms, building CI/CD and ML pipelines while managing Kubernetes and AWS infrastructure for data engineering and AI workloads.
Overview Great brands reflect culture. The best ones help shape it. At Foot Locker, we’re rooted in sport, powered by style, and driven by the communities that move both. From Foot Locker and Kids Foot Locker to Champs…
Principal ML Engineer builds and deploys scalable AI systems for industrial operations, transforming unstructured data into actionable insights using deep learning, generative AI, and computer vision.
Build and scale the distributed GPU training infrastructure and MLOps platform that powers Atoms’ autonomous transport models, using Kubernetes, Ray, and MLflow.
Build and scale distributed GPU training infrastructure for autonomous transport models using Kubernetes, MLOps tools, and high-throughput data pipelines.
Build internal AI-powered tools for Apple’s Camera, Photos, and Image Quality teams, integrating vision models and LLMs into imaging workflows using Swift, Python, and React.
The AI Engineer will design and deploy production-grade AI solutions, focusing on LLM applications, RAG pipelines, and scalable ML services. The role involves building multi-agent workflows, optimizing retrieval systems, and managing MLOps processes.
Design and deploy AI/ML-powered large-scale combinatorial optimization algorithms for satellite fleet scheduling, working with Python, PyTorch, mixed-integer programming, and reinforcement learning solvers in coordination with aerospace and software engineering teams.
About Goodie AI: Goodie helps leading brands win AI search. As billions of people use ChatGPT, Perplexity, Gemini, and other AI systems to discover products and make buying decisions, brands need a way to understand…
Lead a team of data scientists to design, validate, and deploy ML/LLM solutions, ensuring technical rigor and measurable business impact while mentoring peers.
This role involves building and scaling the backend and infrastructure for an energy startup, focusing on managing time-series data from battery installations and deploying models on AWS. The engineer will own platform reliability, CI/CD pipelines, and database performance while collaborating with the data science team.
Staff Data Scientist at Honor designs and builds AI-driven solutions (LLM agents or optimization models) to solve complex business problems in elder care, partnering with engineering and operations teams.
The AI/ML Engineer will design, develop, and maintain scalable AI/ML pipelines and integrate models, including LLMs and Generative AI, into production environments. The role involves collaborating with data scientists and software engineers to optimize model performance and implement MLOps best practices using cloud platforms and containerization.
About us Farsight Vision converts flight footage into digital 2D and 3D twins for real-time intelligence in GNSS-denied environment, making analytics and situational awareness convenient and accessible while saving…
The Senior DevOps Engineer will build and maintain the CI/CD, MLOps, and Internal Developer Platform infrastructure to support Bitdeer's AI-operated GPU cloud. This role focuses on automating deployment pipelines, managing Kubernetes-based infrastructure, and ensuring high availability for AI workloads.
Own applied AI/ML solutions powering patient-provider matching, search ranking, and clinical personalization at a mental health company—building production recommendation engines, LLM integrations, and ML infrastructure using Python, vector databases, and search/relevance systems.
An AI Scientist who designs, builds, and deploys ML models for business problems, focusing on web/cloud platforms, data engineering, and MLOps to ensure scalable, production-ready AI solutions.
Leads a machine learning organization at a global travel platform, defining AI strategy for personalization, recommendations, and generative AI while scaling a team across London, Oxford, and Krakow.
Principal Machine Learning Scientist at TripAdvisor in London designing and scaling AI systems for travel discovery, ranking, and recommendations using deep learning and graph-based methods.
Principal ML Scientist at TripAdvisor building and scaling AI-driven travel discovery systems—ranking, retrieval, and sequential recommendations—using deep learning, graph methods, and multi-objective optimization to power real-time itinerary search for millions of users.
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