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Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation. We build and deploy cutting-edge systems within one of the world’s most advanced computing environments to power…
Applies advanced analytics and research to improve the well-being of Special Operations Forces members and their families using data-driven solutions.
Build and deploy AI systems that predict consumer reactions to creative content using neuroscience data, generative AI, and multi-modal models in a production environment.
Builds predictive and prescriptive models to optimize data center operations, energy use, and capacity planning using Python, SQL, and Azure/Databricks.
Build production-grade AI/ML systems for document classification and processing to turn multilingual, high-volume data into actionable intelligence using Python, NLP, and AWS.
Build and deploy ML models to forecast demand and optimize product assortment in Decathlon’s supply chain using Python, TensorFlow/PyTorch, and MLOps tooling.
Build predictive models and analytics to connect marketing spend to revenue, personalize campaigns, and guide B2B growth using Salesforce, Snowflake, Python, and SQL.
Senior backend engineer building scalable data-processing services in Python/Java, REST APIs, Kafka, and AWS for Meltwater’s media-intelligence platform.
Build and maintain data pipelines and platforms for a materials-discovery institute, integrating lab data and enabling ML-driven research on sustainability and carbon capture.
Build and deploy data-science models that forecast cost, schedule, and risk for nuclear-reactor megaprojects; extend the NOS ontology and ship dashboards used by executives and engineers.
Build and deploy data-science models that forecast cost, schedule, and risk for nuclear-reactor megaprojects using Python, SQL, and Palantir Foundry.
Principal Data Scientist builds ML models and GenAI tools to optimize marketing campaigns, measure effectiveness, and deliver self-service analytics for a medical-device company.
Build and deploy AI/ML models for U.S. clients using cloud tools, Kubernetes, and MLOps best practices.
Build and deploy large-scale machine learning models and AI agents to optimize Micron’s semiconductor manufacturing workflows using distributed training and GPU optimization techniques.
Build and deploy Python-based generative AI and ML applications for knowledge search, summarization, and agentic workflows using RAG, vector DBs, and cloud platforms like AWS/Azure.
Lead a team to build AI/ML models and analytics pipelines that improve semiconductor yield and quality, using Python, TensorFlow, and cloud data infrastructure.
Design and deploy AI/ML models to automate hardware validation, predict failures, and optimize test coverage for semiconductor products.
Build and deploy AI, ML, and GenAI solutions in Python and cloud platforms to solve complex business problems and optimize decisions for Micron’s product and sales teams.
Lead a team to design and deploy Generative AI and Agentic AI solutions using Python, NLP, and cloud platforms to solve complex business problems in BFSI.
Company Description Payarc is a technology-driven payments company built to empower people and improve their organizations, one payment at a time. What began as smart, simple payment-processing tools and products has…
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