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Builds scalable backend systems for AI-powered marketing that deliver billions of personalized messages daily using Java/Spring Boot, Python, and AWS.
Staff Applied Scientist at Apple builds and optimizes compact LLMs for Siri’s UI control, tool calling, and conversational features, focusing on mobile hardware constraints and post-training techniques.
Build and improve AI systems that power clinical products, including LLMs and agentic workflows, with end-to-end ownership of evaluation, deployment, and production debugging.
Design and build ML models, analyze large datasets, and turn insights into business decisions using Python/R, SQL, and TensorFlow/PyTorch.
Predictive & Agentic AI Engineer Position Overview: Are you an accomplished AI practitioner with a passion for developing cutting-edge analytics, predictive machine learning, and multi-agent generative AI…
Lead the design and deployment of ML systems on Kubernetes using KServe, PyTorch, TensorFlow, and AWS for Capital One’s fintech products.
Build and own ML models for marketing at a BNPL fintech, including customer intent modeling, next-best-action frameworks, and marketing mix modeling to drive customer acquisition and budget allocation.
Job Description FS Technology Consulting - AI and Data - AI Architecture & Engineering Lead - Senior Manager - Dublin Location: Dublin 2 Available for VISA Sponsorship: Yes Business Area: Data & Analytics…
Lead the design and deployment of AI/ML models for document understanding, using NLP and computer vision to automate contract analysis and improve customer experiences on Docusign’s platform.
Build and scale secure IoT platforms for smart buildings and real estate, integrating cloud and edge computing with AI/ML pipelines in a global financial firm.
Design and partition cutting-edge AI models (e.g., Transformers) for custom silicon, mapping them to heterogeneous ASICs before hardware tape-out and ensuring cycle-accurate performance.
Researches and builds 3D computer vision and SLAM systems for autonomous robots, focusing on perception pipelines, navigation, and manipulation in real-world environments.
Build and deploy full-stack apps with React, Node.js, and TypeScript, integrating AI models and DevOps pipelines using AWS, Terraform, and CI/CD.
Build and scale the ML infrastructure powering Aidoc’s healthcare AI, focusing on computer vision and NLP for medical imaging to assist clinicians and improve patient outcomes.
Lead the evolution and scaling of AI architecture for a healthcare AI leader, integrating deep-learning models (CV/NLP) with robust software systems to improve clinical workflows and patient outcomes.
Designs and develops instructor-led and virtual training programs for corporate clients, focusing on AI tools and workplace technologies to upskill employees.
Design and deploy secure, scalable cloud infrastructure on GCP for enterprise customers, guiding migrations and modernizations while optimizing for performance and cost.
Build and scale high-performance ML systems for real-time fraud detection using PyTorch/TensorFlow and multi-GPU training pipelines, while mentoring engineers and shaping data architecture.
Design and build scalable data pipelines and lakehouse architectures using Python, Spark, Kafka, and cloud platforms to enable real-time analytics and ML workflows.
Build and optimize low-latency ML inference pipelines and LLM tools to automate trading workflows, using PyTorch, TensorRT, and cloud GPUs.
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