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Build and deploy AI/ML models for healthcare claims processing using PyTorch/TensorFlow, MLOps pipelines, and cloud tools to reduce payment inaccuracies and waste.
Modernize legacy data systems by rewriting SAS logic into high-performance Python, building scalable cloud-native pipelines, and optimizing PostgreSQL-backed data workflows.
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With…
Builds and deploys ML models end-to-end—from data pipelines to production inference—designing A/B tests and optimizing models for HR-product metrics.
This team innovated a classified data service to support data-intensive assessment of Intelligence Surveillance Reconnaissance (ISR) system performance and effectiveness. We are seeking a software developer to improve…
Build and maintain open-source machine-learning tools for neuroscience research, using Python, PyTorch/TensorFlow, and UI frameworks to create reusable, well-documented software for the scientific community.
Leads the design, build, and optimization of a global data platform for a financial services firm, delivering scalable pipelines and models while mentoring teams across multiple systems.
About Lightsonic Lightsonic finds water leaks by turning telecoms fibre that's already in the ground into a sensing network. We work with water utilities across the UK and Europe to detect leaks that might…
Build cloud-native data pipelines and web tools that turn NASA satellite feeds into real-time weather and disaster products for public use, using Python, GIS automation, and AWS.
Build and maintain a production-grade MLOps platform for financial risk models using Python, PySpark, and AWS, automating training, testing, and deployment workflows.
Build and optimize Ray’s distributed data-processing library (Datasets) to power large-scale ML pipelines, working with Apache Arrow, Ray Core, and ML libraries.
Principal Data Engineer builds and scales AI/LLM data infrastructure for CrowdStrike’s cybersecurity platform, designing pipelines and agentic workflows to power next-gen security features at Exabyte scale.
Leads the design, development, and deployment of AI/ML systems at scale for a fintech company, focusing on model architecture, cloud-based infrastructure, and production pipelines while collaborating with data science and product teams.
Build and scale the AI infrastructure that powers CrowdStrike’s LLM-driven security products, including GPU clusters, model-serving pipelines, and MLOps tooling.
Develops and maintains open-source Python package (UXarray) for Earth science modeling, focusing on unstructured mesh data, while conducting research on global atmospheric modeling and extreme weather events using high-resolution simulations and AI/ML emulators.
Build and own the data foundation for Citi’s new Generative AI products in Markets, designing Python-based pipelines and serving layers that process billions of records with low-latency retrieval for production AI applications.
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate…
Lead the design, development, and deployment of machine learning systems at scale for a major bank, collaborating with data science and product teams to productionize ML models using cloud platforms and distributed computing.
Design and build autonomous AI agents for enterprise automation, integrating with systems like ERP and CRM to optimize supply chain and customer experiences using Python, LLMs, and cloud AI services.
Senior Software Engineer builds and operates scalable microservices in Kubernetes for an AI-powered content classification platform, using Python, Kafka, and cloud tools.
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