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Build and maintain full-stack fintech applications using C#, .NET Core, Angular, and SQL, deploying on AWS and integrating AI/ML models.
Develops AI/ML models and analytics solutions for government security missions, applying advanced statistical and mathematical techniques to solve complex problems using Python, PyTorch, and TensorFlow.
Build, deploy, and maintain AI/ML models and services, including Generative AI and RAG systems, using Python, PyTorch, and cloud-native tools.
The AI Engineer will design and deploy internal AI and GenAI solutions, including RAG and LLM-based pipelines, to support business needs. The role involves collaborating with data science teams to build robust, scalable models using Python, PyTorch, and cloud technologies.
Develops AI/ML computer vision models for gemstone detection, classification, and segmentation using Vision Transformers and vision-language models, while building MLOps pipelines and collaborating with cross-functional teams to deploy scalable solutions.
Job Details: Tyson Foods, Inc. has an opening for Lead Data Scientist in Springdale, AR. Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using…
Internal Management & Management Support Applicants: Automatic notification to your current manager will be initiated upon selection for interview. This applies to all current P or M level candidates. Relocation…
Build AI-powered features like search, recommendations, and generative AI tools for a healthcare marketplace, spanning models, APIs, and user interfaces.
Designs and deploys end-to-end machine learning solutions for clients, bridging business problems with statistical modeling, cloud-based analytics, and production-grade MLOps. Focuses on Azure-based pipelines, model governance, and stakeholder collaboration.
Build and deploy ML models from scratch (e.g., Random Forests, Neural Networks) to detect spam and threats, using Python and cloud infrastructure without managed services.
Senior Data Scientist designing and deploying ML models for real-time bidding, audience targeting, and campaign optimization on Amadeus's travel advertising platform, using Python, SQL, TensorFlow, and GCP.
Builds and deploys AI-driven systems (RAG, agents) for Thomson Reuters’ investigative platform CLEAR, integrating AI into full-stack web apps, APIs, and enterprise workflows for legal/tax/compliance domains.
AI Software Engineer (VP) at NatWest Group in Chennai, working in a permanent feature team to design, build, test, and deploy full-stack software with a strong focus on Python, machine learning frameworks, and Large Language Models.
Salesforce Developer (LP Systems Analyst II) maintaining and evolving enterprise Salesforce solutions for Loss Prevention at TJX Companies in Marlborough, MA, working with Lightning Web Components, Apex, SOQL, and Flows.
Builds and deploys ML/AI models to analyze healthcare data, improve predictive accuracy, and automate workflows using agentic systems and RAG techniques.
Senior Data Scientist leading ML model development and deployment in a distributed data system to maximize weapon system operational effectiveness for Boeing Defense, Space & Security.
Builds and deploys AI/ML models (including GenAI and agentic systems) for fintech operations, focusing on prompt engineering, model evaluation, and production monitoring to improve customer and business outcomes.
Designs AI-driven systems to monitor and optimize Disney’s global streaming ecosystem (Disney+, Hulu, ESPN) by building real-time telemetry pipelines, agentic models, and observability tools for reliability and performance.
Design and build scalable AI/ML systems at Nike, leveraging prediction models and generative AI to drive data-driven business decisions and optimize corporate functions.
Lead AI/ML Engineer at Nike owning end-to-end ML and generative AI solutions for corporate functions, from design through production, using Python, AWS (SageMaker, Lambda), and MLOps practices.
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