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Test Automation Engineer owning validation of edge-deployed imaging systems across software, Jetson-based compute, and hardware-integrated sensor payloads using Python, Linux, Playwright, and CI/CD pipelines.
Entry-level Data Scientist developing and deploying machine learning models for fraud detection and risk assessment using Python, SQL, and popular data science libraries in a cross-functional team.
Full-stack R&D engineer building end-to-end web applications with React/Vue frontends and Python/Node.js/Java backends on AWS, integrating AI/ML capabilities like LLM APIs into production systems at Keysight Technologies in Singapore.
The Associate Director of Data Science leads a team in developing and deploying scalable AI solutions, including predictive analytics and Generative AI, within the insurance sector. This role combines strategic leadership, technical guidance, and cross-functional partnership to drive business adoption of AI products.
The Senior Consultant will lead data analysis, profiling, and migration efforts for banking and financial services clients. The role involves defining data mapping specifications, ensuring data quality, and managing stakeholder relationships using SQL and data migration tools.
About Delve Deeper We're a ~130-person performance media agency built for the subscription-focused nonprofit and mission-driven sector. We run digital fundraising and performance media for organizations like…
Build AI-driven agents to autonomously detect, diagnose, and remediate issues across CrowdStrike’s large-scale distributed infrastructure, integrating with monitoring and telemetry stacks.
The Senior AI Analyst will design and deploy an AI-powered revenue opportunity detection system, bridging the gap between revenue management strategy and technical data science teams. The role involves defining business rules, managing product roadmaps, and driving user adoption of analytical tools to optimize pricing and inventory performance.
Design, build, and operate an AIOps agent platform — including agent runtime, tool interfaces, event routing, telemetry, and operator experience — using Python, event-driven architectures (Kafka), observability stacks, and modern front-end frameworks in a hybrid setting.
Lead the design and development of full-stack applications and AI-driven infrastructure platforms using Java, Python, Node.js, and modern frameworks, while automating CI/CD, DevOps, and cloud-native systems.
The Lead Engineer for IAM Platform Engineering will architect and automate enterprise identity and access management solutions, leveraging AI and modern identity protocols to enhance security and operational efficiency. The role involves designing Zero Trust frameworks and leading the modernization of identity governance, privileged access, and authentication platforms.
Join our team as a Financial Analyst II supporting finance operations and technology transformation within the IXD+ network. You will use data analytics, AI tools, and financial fundamentals to support standardization…
Amazon Transportation Services is looking for a Supply Chain Manager II to lead the development of foundational performance metrics for the Amazon Managed 1P Intermodal (AZIM) program. This role will design, implement,…
Build and deploy predictive models and statistical analyses to detect tax fraud and non-compliance using Python/R, SQL, and Databricks for the IRS.
With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the…
Lead the design and productionization of AI/ML capabilities—including generative AI, forecasting, and recommendation systems—building data pipelines and production platforms using Python, SQL, Snowflake/Databricks, and Azure.
Lead the architecture, scalability, and reliability of enterprise observability and telemetry platforms at Wells Fargo, focusing on Splunk, Cribl, ITSI, and agentic AI systems in hybrid and cloud environments.
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.
Lead the modeling strategy and analytic architecture for telemetry and log analytics at Dell, focusing on time-series and event-based data across batch and streaming systems. Design models for anomaly detection, forecasting, and NLP on unstructured logs using Python, SQL, and observability ecosystems.
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