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ML Engineer building production platforms and pipelines to deploy ML and GenAI models at scale across insurance, banking, and wealth management at Manulife.
Working student role applying AI and Machine Learning to build an intelligent procurement planning solution, automating demand forecasting and optimizing purchasing decisions using Microsoft Azure and modern forecasting methods.
Principal Product Manager role requiring AI/ML experience at a food delivery platform. The truncated posting does not describe specific day-to-day responsibilities or technologies beyond the AI/ML requirement in the title.
Architect and deploy end-to-end AI/ML solutions on Microsoft Azure, including data pipelines, MLOps, vector indexes, and retrieval-based AI systems for enterprise clients.
The DevOps/ML Engineer role at Machine Learning Reply in Germany focuses on bridging the gap between machine learning development and operations.
The Junior DevOps/ML Engineer role at Machine Learning Reply involves working at the intersection of machine learning and infrastructure operations in Germany.
Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into applications, supported by API development…
Leads end-to-end design and deployment of production-grade AI/ML and GenAI solutions, focusing on RAG platforms, agentic systems, and secure enterprise integrations using Python, AWS/Azure, and MLOps practices.
Build and deploy end-to-end GenAI/LLM applications (RAG, agentic workflows, evaluation pipelines) using Python, cloud platforms, Docker, and vector databases for a finance consulting firm in Pune.
Job Number: R0247603 AI/ML Engineer The Opportunity: As an machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented…
Lead applied ML projects for industry clients, mentor junior staff, and translate academic research into practical solutions using Python, PyTorch, and related ML frameworks at an AI research institute in Edmonton.
Build and deploy production-grade ML and GenAI systems for insurance, banking, and wealth management using Python, MLOps, and cloud-native tools.
Machine Learning Engineer at a Belgian data/AI consulting firm, translating business needs into ML solutions, deploying and maintaining models in production, and building cloud-based ML pipelines following MLOps best practices for various clients.
Building ML frameworks infrastructure—optimizers, code generators, runtime libraries, and orchestration across heterogeneous hardware—using C++, Rust, Python, MLIR, and CUDA at a proprietary trading firm.
Artificial Intelligence/Machine Learning Systems Engineer Location Chantilly, VA Job Code 1636 of Openings 1 Employee Referral Bonus Eligible Yes Apply Now FTS International, LLC (FTS) is committed to providing the…
Designs and builds scalable AI/ML systems for mission-critical security applications, ensuring robust performance under evolving requirements.
This role involves developing advanced signal processing, AI, and machine learning solutions for sensing and detection applications within the defense sector. The engineer will work across the full development lifecycle to create algorithms that classify and interpret complex real-world signals.
Build and deploy AI systems for construction automation, focusing on multimodal document understanding and agentic workflows to replace manual preconstruction tasks.
Develop and deploy AI/ML models for enterprise solutions, focusing on model training, optimization, and integration into client workflows.
Develop ML models for video/image processing to enhance Apple products, optimizing for edge devices and balancing quality with hardware constraints.
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