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Leads ML Ops at Coca-Cola, deploying and scaling AI/ML models to optimize global supply chains and customer engagement systems.
Build and deploy MLOps tooling and services for Lyra’s AI-powered mental-health platform, including training/inference pipelines, APIs, and evaluation frameworks in Python and Kubernetes.
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every…
Research and develop AI models for physical-world interaction, including robotics and reinforcement learning, to advance embodied intelligence systems.
Build and optimize real-time bidding and user-quality prediction models for a mobile in-app ad platform serving 10M daily users.
Senior ML Engineer to research and build adaptable AI systems that work across models, providers, and environments.
Builds and scales ML services, pipelines, and AI agents to extract insights from customer interactions across banking and ecosystem surfaces using Python, FastAPI, and ML/LLM stacks.
Senior ML Engineer builds and improves ML models for banking products, using Python, LLM prompt engineering, and data pipelines to enhance customer experience and reduce churn.
Build and improve large-scale recommendation systems and apply LLMs to personalize content feeds for tens of millions of users, using Python, PyTorch, and distributed ML pipelines.
Build and optimize ML pipelines for 3D perception and multimodal models, deploy models to production, and collaborate with research and engineering teams.
Design and maintain enterprise ontologies and knowledge graphs using OWL/RDF and SPARQL, enforce semantic validation rules, and integrate semantic structures with AI systems and enterprise data pipelines.
ARKA Group L.P. ("ARKA") is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space…
Build production-ready AI/ML models and GenAI apps, then engineer the shared platform to deploy them at scale.
Build and maintain ML infrastructure and pipelines to move models from experimentation to production using SageMaker and best practices.
Build and scale ML infrastructure for Tinder’s recommendation and moderation systems, using Spark, Kafka, and LLM-serving frameworks while ensuring reliability and cost efficiency.
Build and optimize in-database machine learning models in C++, ensuring parity with scikit-learn/Spark ML while scaling training and inference for large datasets.
Senior Machine Learning Engineer at Iterable to design and build AI-powered customer engagement systems, focusing on retrieval pipelines, RAG architectures, and evaluation frameworks using Python, TypeScript, and ML toolkits.
Senior ML Engineer builds and deploys production-scale personalization models (send-time optimization, recommendations) using Databricks, Spark, Ray, and Kubernetes to power Iterable’s AI-driven customer engagement platform.
Build and maintain scalable MLOps infrastructure at KAYAK, turning experimental ML models into production-ready services with automated pipelines, Kubernetes, and observability tooling.
Builds AI agent frameworks, designs ML pipelines, and integrates LLMs with backend systems while mentoring best practices.
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