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Design, deploy, and manage scalable MLOps pipelines for production-ready AI models, focusing on automation, monitoring, and reinforcement learning for hyper-personalization in telecom and related sectors.
Data Analyst role at Ofcom to analyze communications market data, build accessible dashboards, and publish insights using Python, SQL, Power BI, and AI tools for internal stakeholders.
Lead a team of data scientists to build AI/ML models and analytics that drive commercial decisions, deploying solutions with engineering partners and presenting insights to executives.
Lead end-to-end data science projects to boost player engagement and monetization in social casino games using ML, reinforcement learning, and A/B testing.
Lead a team of data scientists to measure, model, and forecast marketing investments for mobile games using AI, causal inference, and mobile marketing measurement techniques.
Lead statistical modeling and machine learning for demand forecasting in a global supply chain, partnering with planners to improve forecast accuracy and reduce inventory risk.
Build and deploy predictive models and automated data pipelines to optimize airline operations and business decisions using cloud-based tools.
Design, build, and deploy ML/AI models and GenAI solutions across banking and healthcare, shepherding projects from data prep to MLOps.
Build and deploy AI models (LLMs, agentic AI) using Azure to extract insights from insurance data, collaborating with engineering teams to create data products that power smarter business decisions.
Design, train, and deploy AI models for robotics and computer vision to automate perception, navigation, and decision-making in real-world systems.
Build and deploy AI/ML models, RAG pipelines, and Generative AI solutions for clients in banking and healthcare using Python, LLMs, and enterprise platforms like Azure ML and Databricks.
Build predictive models, time-series forecasts, and generative-AI tools to optimize sales operations at a semiconductor/AI company using Python, SQL, and ML frameworks.
Build and deploy predictive models to optimize manufacturing processes using Python, R, and ML techniques; visualize insights for stakeholders with Power BI/Tableau.
Lead AI engineering efforts to build and deploy scalable big-data solutions, predictive models, and LLM-based systems using Spark, Python/R, and cloud platforms.
Owns BI and analytics products for supply chain, manufacturing, and planning; builds Power BI dashboards and data models to drive smarter decisions and faster innovation.
Key Skills: Oracle, MS SQL, MySQL, Teradata, Databricks, Informatica, AWS cloud services, ETL, ML, AI, IaC, CI/CD, Informatica IDMC Certification Education & Experience: Degree/Master's in Computer Science,…
Build and maintain AI-driven analytics for a regional health service, using Python/R and SQL to create predictive models and reports while ensuring health-data privacy compliance.
Owns data analytics and AI capabilities for robotic-assisted surgery products, turning usage metrics and ML models into actionable insights that guide product strategy and improve patient outcomes.
Manage data-science projects, build predictive models and ML pipelines, and translate analytics into business decisions for enterprise clients.
Job Description Summary Job Description Summary The Sr Analyst - Business Operations Insights will play a critical role in developing end-to-end reporting solutions, from data collection and transformation to report…
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