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Lead a team building liquidity-forecasting models in Python to ensure Wise has the right cash in the right place at the right time while keeping risk under control.
Lead a team to design and deploy production-grade AI/ML models using Python, focusing on scalable solutions for complex business problems.
Lead end-to-end ML and data-science projects for enterprise clients in insurance, finance, healthcare, energy and manufacturing, using Python, PyTorch/TensorFlow and AWS.
Lead a data science team at an IT services firm, building models and analytics for clients across finance, retail, healthcare, and other sectors.
Lead a team to build and scale an AI-powered security ontology for detecting anomalous OAuth token activity and integration risks across enterprise SaaS platforms like Salesforce and Microsoft 365.
Lead a Data Science team to transform pharmacy data into predictive models and business insights, using Python, SQL, and ML to optimize sales, marketing, and inventory for pharma brands.
Lead a data science team at S&P Global to build predictive models and analytics solutions for financial data and market insights.
Build and optimize AI/ML models for retail demand forecasting and supply-chain planning using Python/R, time-series methods, and optimization algorithms.
Lead the development of AI-powered search models (LLMs, RAG, vector search) for Caterpillar’s eCommerce parts platform, optimizing relevance and personalization to improve customer experience.
Lead a team applying AI/ML to marketing, audience modeling, and healthcare analytics at GoodRx, building models that drive prescription savings and business decisions using Python, Spark, and cloud platforms.
Lead a team of data scientists and AI engineers to design, build, and deploy AI solutions that drive business performance and operational efficiency across Sony Europe.
Lead a team of data scientists to build AI models for retail use cases like personalization, marketing, and supply chain using Python, SQL, and cloud platforms.
Lead a team of data scientists and AI engineers to design, build, and deploy AI solutions that drive business performance and operational efficiency using Python, SQL, and modern ML frameworks.
Lead a team building generative AI and agentic systems for healthcare, including LLMs, RAG, and AI agents, from prototyping to production with MLOps and Responsible AI practices.
Build and deploy AI models for medical document recognition and NLP chatbots using PyTorch, FastAPI, and GPU servers.
Lead a team to build and deploy AI/ML solutions for predictive maintenance, quality control, and process optimization across multiple manufacturing plants using Azure AI, Databricks, and IIoT data.
Lead a team to build and deploy ML models and advanced analytics for resiliency risk assessment, translating complex data into actionable insights for senior leadership using Python, R, and cloud-based MLOps.
Lead a team of data scientists and analysts to optimize loan funding and issuance using ML, predictive modeling, and optimization strategies for Pagaya’s fintech platform.
Lead live training sessions and mentor students in data science, covering Excel, SQL, Power BI, and Python for analytics and visualization.
Build AI-driven materials science tools: develop data models, agentic coding workflows, and web-based analysis pipelines to accelerate R&D for industrial clients.
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