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Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
The Staff DevOps Engineer will build automation and tooling to support large-scale storage services for engineering and HPC teams. The role focuses on improving infrastructure reliability and operational workflows using technologies like Terraform, Ansible, and Python.
Own operational data workflows, weekly sales data analysis, anomaly detection, KPI optimization, and 4-week rolling forecasts using advanced Excel at Samsung's Singapore office.
Build and deploy ML models for travel pricing, forecasting, and optimization, collaborating with engineers and analysts to drive revenue and cost improvements.
The Mainframe Systems Programmer acts as a technical liaison for managed service providers, overseeing z/OS and CICS environments on IBM Z16 hardware. The role involves security administration, performance tuning, and driving AIOps initiatives to modernize mainframe operations.
Data and Integration Engineer would be responsible for managing data and integration capabilities across WSP Digital Products, including structured, semi-structured, and unstructured data. The role would design and…
Join a team improving the way quality assurance testing is designed, executed, and defended through analytics and automation. You will turn evolving requirements into structured solutions that are scalable,…
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Operations Job Details About Salesforce Salesforce is the…
Designs, automates, and secures Cleveland-Cliffs’ enterprise network with a focus on observability and DevOps-driven reliability; leads security monitoring, AI-driven anomaly detection, and IT/OT convergence projects.
Build and deploy AI solutions using NLP, LLMs, and knowledge graphs for financial workplace investing products, focusing on document processing, assistants, and anomaly detection.
Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Radiometer , one of Danaher’s 15+ operating companies, our work saves…
Lead a team of 10–15 SREs owning AWS-based fintech infrastructure for QuickBooks, TurboTax, Credit Karma, and Mailchimp, driving 99.999% availability and embedding AI-driven autonomous operations.
Builds and maintains AI-driven cost intelligence platforms for Disney’s cloud and technology spend, focusing on data pipelines, automation, and AI-driven optimization to provide real-time cost visibility and attribution across enterprise-scale cloud environments.
Develops and deploys AI-driven computer vision models to monitor manufacturing processes, ensuring quality and efficiency across Medtronic’s global production sites. Focuses on scaling solutions, mentoring teams, and optimizing visual data pipelines for real-time process intelligence.
The position is described below. If you want to apply, click the Apply button at the top or bottom of this page. You'll be required to create an account or sign in to an existing one. If you have a disability and…
Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times. Our employee promise represents Intact’s commitment to you in…
Own end-to-end lending fraud strategy across Term Loan, Line of Credit, and Revenue Based Financing products at Intuit QuickBooks, designing detection systems and tuning policy using SQL, Python, ML models, and AI-powered automation.
The Digital Product Manager defines the strategy, vision, and roadmap for Allstate's billing and payments platform. This role collaborates with engineering and business stakeholders to deliver scalable, customer-centric financial solutions using data-driven prioritization.
Leads fraud detection analytics at Fidelity, using Python and SQL to analyze large datasets, identify fraud patterns (including crypto-related scams), and implement real-time detection strategies in a fraud decisioning engine.
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