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Scientific Applications & Research Associates, Inc. (SARA) is a world-class Defense Research and Development enterprise with more than 35 years of proven innovation. We create new and emerging technology solutions…
Build and maintain microservices, Kafka-based event streaming, and AI integrations for McKesson’s healthcare supply-chain platform using Java/Python and cloud-native tools.
Build and deploy ML models to detect and remove harmful content, using Python, PyTorch, and AWS to protect children from exploitation.
Build and deploy ML models for an Australian payments company using AWS SageMaker, Python, and MLOps practices.
Develop AI/ML requirements and policy for defence programs, using Python and frameworks like PyTorch/TensorFlow to support autonomous systems and loitering munitions projects.
Builds scalable enterprise software using Java, Python, and Azure while leveraging AI tools like TensorFlow and PyTorch to automate engineering tasks and boost developer productivity.
Senior Data Scientist builds and deploys AI/ML models and data pipelines for financial analytics, partnering with ops and tech teams to deliver scalable, data-driven solutions using Python, TensorFlow/PyTorch, and cloud platforms.
Senior Data Scientist at a fast-growing fintech builds and deploys ML models to improve customer understanding, product decisions, and member acquisition/retention using Python, SQL, and cloud tools.
Build and deploy GenAI/NLP pipelines and RAG systems for life-science products, automating ML workflows on AWS/Azure and managing vector/graph search infrastructure.
Build and scale AI/ML systems to personalize Qualtrics' SaaS platform, leading architecture, deployment, and optimization of large-scale machine learning models and infrastructure.
Design, train, deploy, and optimize ML models and AI solutions across the full lifecycle using cloud AI platforms and frameworks like TensorFlow/PyTorch.
Company: Qualcomm Middle East Information Technology Company LLC Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: About Us As a leading technology innovator, Qualcomm pushes the…
Build, deploy, and own ML/AI models (including GenAI) for pricing, personalization, and fraud detection, using Python, PyTorch/TensorFlow, and MLOps tools in a cloud-native stack.
Build and deploy AI/ML models to detect anomalies, forecast demand, and optimize pricing for a global FMCG company using Python, SQL, and cloud tools.
Design, build, and optimize ML models using Python or Java and frameworks like TensorFlow or PyTorch to solve complex problems from large datasets.
Build and deploy ML models for a multimodal AI platform using LLMs, RAG, and computer vision to enhance auto-tagging, OCR, and content analysis for enterprise clients.
Develops and implements AI/deep-learning models for computer vision and NLP, trains them on large datasets, and integrates solutions with cross-functional teams using Python and frameworks like TensorFlow or PyTorch.
Build and fine-tune LLMs and RAG systems using TensorFlow, PyTorch, and LangChain, while maintaining scalable ML pipelines in cloud environments like AWS or Azure.
Builds, deploys, and optimizes AI/ML models and pipelines for enterprise products, integrating GenAI, NLP, and predictive analytics into scalable systems.
Designs and deploys transformer-based deep learning models using TensorFlow/PyTorch, optimizing architectures and solving ML challenges in a collaborative engineering team.
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