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The Data Scientist will design, develop, and deploy scalable machine learning and AI solutions, focusing on Generative AI, LLMs, and NLP models. The role involves end-to-end ownership of projects, from data analysis and feature engineering to production deployment and monitoring using Python and PySpark.
Develops data-driven solutions for solar power plant operations, analyzing large-scale time-series data to improve performance, troubleshoot issues, and support customer-facing reporting. Core tech: Python, SQL, PySpark, and cloud analytics platforms like Databricks.
The Senior Machine Learning Engineer will design, build, and operate production-grade AI systems, specifically RAG applications and Intelligent Document Processing pipelines, for federal clients using AWS GovCloud. The role requires deep expertise in LLMs, vector databases, and secure, compliant software engineering practices.
The Senior Machine Learning Engineer will design and build production-grade Intelligent Document Processing (IDP) and AI systems using Python, NLP, OCR, and LLMs. The role involves managing the full AI lifecycle, from data ingestion and model integration to deployment and observability in cloud environments.
The Applied AI ML Associate develops and manages fraud and credit risk models for JPMorgan Chase's digital bank. The role involves end-to-end model lifecycle management, performance monitoring, and regulatory compliance using Python and machine learning frameworks.
Builds predictive models and data products to drive customer lifetime value (CLV) by developing churn/retention models, segmentation strategies, and personalized CRM campaigns. Owns end-to-end ML workflows, including feature engineering, validation, deployment, and production monitoring in Databricks, while collaborating with CRM, Marketing, and Merchandising teams.
Senior Manager – Customer Analytics (Corporate) About Sally Beauty Holdings, Inc. At SBH, our purpose is to inspire a more colorful, confident, and welcoming world. We are the leader in professional hair color, selling…
Develops advanced AI/ML models (tree models, deep learning, reinforcement learning, Generative/Agentic AI) to optimize P&G’s billion-dollar operations, combining cloud-based data analysis with scalable production deployment.
Data Scientist at P&G designing and implementing scalable ML/AI algorithms—including Generative/Agentic AI, optimization, and deep learning—on massive cloud-hosted datasets using Python and mainstream ML libraries.
Job Description Summary GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety,…
Junior Software Engineers build/maintain enterprise Triage systems and data pipelines, focusing on automation, cloud workflows, and AI/ML integration to improve financial service efficiency.
Senior AI Engineer at PwC’s Manila Acceleration Center develops AI-driven data solutions, leveraging Python, cloud platforms, and ML frameworks to transform client data into actionable insights and strategic business decisions.
Staff Data Scientist leading homeowners insurance pricing and risk modeling at Porch Group, building and deploying GLM and ML models (Python, SQL, BigQuery/GCP) for underwriting, profitability, and retention.
Senior Manager leading teams to design and implement AI-driven security solutions for enterprise and cloud environments, using Python, Java, C++, TensorFlow, and Scikit-Learn to build scalable AI/ML systems within PwC's cybersecurity consulting practice.
The GenAI Python Systems Engineer designs and develops scalable AI and machine learning solutions for clients using Python and Scikit-Learn. This role involves building data pipelines, conducting complex data analysis, and collaborating with teams to deliver AI-driven automation.
Develops AI/ML solutions (predictive models, generative AI, agentic systems) for government case management modernization, focusing on compliance, MLOps, and data-driven decision tools.
Build AI and statistical models to detect fraud in Medicare/Medicaid claims using Python/R, cloud tools, and generative-AI components.
Senior Data Scientist applying ML and generative AI to detect and prevent fraud, waste, and abuse in Medicare/Medicaid claims, using Python, SQL, Databricks/Snowflake/Spark, and GenAI tools like LangChain and vector databases.
Build and evaluate ML models for NASA research projects, create reproducible data pipelines, and prototype tools for predictive analytics and decision support in a research environment.
Designs and deploys enterprise AI/ML solutions (Generative AI, LLMs, RAG) on AWS, focusing on scalable, production-grade architectures and MLOps/LLMOps pipelines for Unum’s income protection business.
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