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McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable.…
Build and deploy ML models for business decisions and optimize AI agentic systems like conversational tools, using Python, SQL, and libraries such as PyTorch.
Data Scientist in financial services building ML solutions that go into production, working on a Data Platform and MLOps capability. Responsibilities include building, testing, and evaluating machine learning models using Python and SQL.
Build and deploy production-grade ML systems for pharma manufacturing, quality, and supply chain at Roche, using Python, MLOps, and AWS.
Design and deploy enterprise AI solutions on Red Hat OpenShift AI, including GenAI, agentic AI, and MLOps workflows, while advising customers and leading project teams.
Build and maintain data pipelines and platforms for a materials-research institute, integrating lab data and enabling analytics and ML to support carbon-capture and energy-storage research.
Build geospatial ML models to optimize final-mile delivery routes, reduce costs, and improve customer/driver experience using GPS, traffic, and routing data.
Lead end-to-end data science projects at Zillow using advanced analytics, machine learning (Python, R, SQL), and experimentation frameworks to improve real estate products and customer experiences, working remotely across the US.
Manage a team of data scientists building predictive models and analytics for long-term care insurance using Python, SQL, and cloud tools to drive business strategy.
Lead the technical strategy for Prime Video’s AI-powered personalization stack, shaping how millions discover content via recommender systems, ML/AI, and large-scale distributed infrastructure.
Build and maintain scalable data pipelines and analytics solutions to power AI/ML initiatives and business decisions using Python, SQL, and PySpark.
Lead the design and deployment of advanced AI/ML models and statistical solutions for government missions, working on-site to extract insights from complex datasets using Python, R, and SQL.
What part will you play? If you’re looking for a place where you can make a meaningful difference, you’ve found it. The work we do at Markel gives people the confidence to move forward and seize opportunities, and…
Senior Machine Learning Engineer Location: Chatswood, Sydney – hybrid working, three days per week in the office Reports to: ML Solution Manager About the opportunity We are seeking a hands-on Senior Machine Learning…
Join as a Gen AI Solutions Engineer — Premier Cloud Job Type: Full-time Travel: Up to 30% (customer sites, Google offices, industry events) Salary Range: $125,000 – $200,000 CAD per year. Actual base salary is based on…
About the Role In this role, you will design and deploy classical machine learning solutions — from time series forecasting and predictive modelling to optimization and dynamic scheduling systems — within…
Build and maintain AI/ML models for AML, sanctions screening, and financial crime detection using Python and SQL, while ensuring regulatory compliance and explainability.
Build AI-driven cybersecurity tools by developing agentic systems, LLMs, and ML models to detect and respond to threats for SOC/SIEM/SOAR platforms.
Senior Machine Learning Engineer, Recommendation and Personalization Location: Los Angeles, California, United States; San Francisco, CA, United States Department: Center for Data & Insights (CDI) About Crunchyroll…
Build and deploy ML models to match renters with properties, improve marketplace ranking, and optimize renter acquisition and partner supply using Python, SQL, and cloud platforms.
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