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Build and deploy ML models to detect debit fraud in real time, using Python, Spark, and gradient boosting, while collaborating with engineers and product teams to protect customers.
Leads AI-driven product development for RBC’s mortgage business, collaborating with engineering and research teams to design, prioritize, and deliver AI solutions that enhance financial services and customer experiences.
Senior Data Scientist builds predictive models and analytics pipelines for connected medical devices, improving service reliability and patient outcomes using Python, Spark, and cloud platforms.
Build AI-driven analytics and predictive models for connected medical devices to improve service reliability and patient outcomes, using Python, Spark, and cloud platforms.
Build and optimize machine learning models for time-series forecasting and predictive analytics using Python, PySpark, and SQL to drive business value in healthcare logistics.
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply,…
Principal AI/ML Research Engineer leads applied research in generative AI, deep learning, and Transformers to build Payment Foundation Models for commerce and fintech challenges, driving novel architectures from prototype to production.
Lead backend development for NexusGRID, a Django-based platform that integrates energy-asset telemetry, AI forecasting, and real-time analytics for utilities and renewable-energy developers.
Build and deploy ML/optimization models for Amazon’s middle-mile logistics, including forecasting and network planning, using Python, SQL, and AWS services.
Build and deploy machine-learning models to predict creditworthiness from cash-flow and transaction data using Python, Spark, and AWS.
Senior Data Scientist builds and deploys ML/AI models, NLP, and generative AI solutions for a defense health mission, using Python, SQL, and cloud platforms to deliver predictive analytics and decision-support systems.
Build and ship ML models for credit risk, revenue forecasting, and underwriting to fund eCommerce businesses without equity dilution.
Lead Novartis’s enterprise-wide deployment of generative AI and agentic systems, architecting secure, scalable solutions and coaching a global team to transform patient-focused workflows.
Build AI-driven cheminformatics pipelines to accelerate early drug discovery, combining generative chemistry, Lab-in-the-Loop workflows, and high-throughput assay data.
Build predictive models and AI solutions to optimize ferry operations, demand forecasting, and customer experience using Python, SQL, and cloud platforms.
Build and maintain predictive models to drive life-insurance sales and policy growth using Python/R, SQL, and AWS SageMaker, then monitor performance with PowerBI.
Lead enterprise-scale AI/ML initiatives, building and deploying Python-based models (LLMs, NLP, predictive systems) with MLOps and responsible-AI practices for federal programs like housing analytics and fraud detection.
Lead a team of data scientists to build and deploy AI/ML models, including LLMs and predictive systems, for ad-tech use cases using Python, TensorFlow/PyTorch, and cloud platforms.
Build and optimize in-database ML models (classification, regression, time series) that run entirely inside Ocient’s SQL engine, matching scikit-learn/Spark ML behavior while scaling to massive datasets.
Build and apply ML models to predict drug properties and guide lead optimization in ADME/PK-PD, using Python/R and in-house tools to accelerate drug discovery.
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