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Build and maintain scalable MLOps pipelines on GCP and Vertex AI, automating model deployment, monitoring, and retraining for enterprise AI solutions.
Design and implement AI/ML solutions for pharmaceutical manufacturing, integrating real-time data with cloud MLOps and ensuring regulatory compliance while mentoring teams.
Build and scale ML infrastructure for a car-sharing marketplace, designing systems that power pricing, simulations, and payments while ensuring reliability at global scale.
Build and scale ML infrastructure and backend systems for AI-powered marketplace platforms, focusing on reliability, performance, and developer velocity.
Senior Software Engineer – ML Infra About the Role & Team Engineering at Uber means building for real-world impact under real-world constraints. As a Senior Software Engineer (ML Data & Backend) , you will…
Staff Software Engineer – ML Infra About the Role & Team Engineering at Uber means building for real-world impact under real-world constraints. As a Senior Software Engineer (ML Data & Backend) , you will…
Why choose us? Are you ready to take the next step in your career? Join us for an exciting opportunity at Albertsons Companies, where innovation and customer service go hand-in-hand! At Albertsons Companies, we are…
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice…
Weil Highspeed-Verbindungen nicht länger warten können: Bei EWE TEL bieten wir Hochgeschwindigkeits-Internet, Mobilfunk, Festnetz-Telefonie, Online-TV und IT-Sicherheits-Produkte aus einer Hand, als einer der größten…
Build and operate cloud services for Delinea’s AI-driven Identity Security Platform, using LLMs to detect anomalies, enhance authorization, and deploy intelligent agents in C#/.NET, Python, and Go.
Evaluate AI-generated ML models and data science solutions for accuracy, applying machine learning, statistical modeling, and Python/SQL to improve AI reasoning and performance.
Evaluate AI-generated data science solutions, models, and analyses for accuracy and reasoning quality, providing technical feedback to improve next-gen AI systems.
Lead AI/ML Engineer designs, deploys, and optimizes AI/ML solutions in AWS for federal clients, mentors teams, and evaluates emerging technologies while ensuring secure, scalable implementations.
Build and deploy AI/ML models and GenAI solutions for enterprise clients, using Python, PySpark, Azure AI, Databricks, and LLM/RAG techniques to drive measurable business value.
Build and deploy end-to-end ML models and AI services (LLMs, simulations, digital twins) using Python, TensorFlow/PyTorch, Docker/Kubernetes, and MLOps tooling in a DevOps environment.
Build and lead AI-powered financial risk systems using Python, TensorFlow/PyTorch, and cloud platforms to deliver credit scoring and fraud detection for banking and insurance.
Lead a modern, open-source data platform for Norway’s development agency, building scalable pipelines and governance to drive data-driven decisions in global aid and sustainability efforts.
Lead the design and implementation of a modern, scalable data platform for Norway’s development agency, using Databricks, Azure, and Medallion architecture to ensure high-quality, secure data pipelines and insights for global aid decisions.
Lead a modern data platform using Medallion architecture, building scalable pipelines and ensuring high-quality data for analytics and decision-making at a government agency.
Design, build, and deploy scalable AI and ML solutions using Python, deep learning, LLMs, cloud AI platforms, and MLOps for an HR-focused product company.
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