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Build data products (dashboards, models, apps) that help Greystar’s business teams make faster, sharper decisions using SQL, Python, Databricks, and AI tools.
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power generative AI applications in finance.
ABOUT EVERNORTH: Evernorth ℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care, we solve…
Builds data pipelines, AI solutions, and dashboards for business teams using Python, React, Databricks, and Snowflake.
Builds and deploys data/AI solutions for Warner Music Group, integrating platforms with Python, Databricks, Snowflake, and Streamlit dashboards.
We're looking for an experienced Data Scientist with a background in materials, chemistry, polymers, or chemical engineering to transform how data drives decisions across R&D and manufacturing. You'll build…
Position Digital Procurement Intern Job description Job description Location Høje-Taastrup, Denmark Job category Education Apply now Are you passionate about technology, data, design and AI? Do you want to help shape…
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and…
Build and maintain scalable data pipelines and warehouses using Python, SQL, dbt, and Airbyte to power analytics and ML systems for a media company.
Build and optimize tiny, ultra-efficient AI models for on-device computer vision and multimodal LLMs, shipping features like People Detection and Video Search to millions of cameras.
Research and develop state-of-the-art AI models for embedded devices, focusing on computer vision and multimodal LLMs to enable features like people detection and video search.
Design and maintain scalable data pipelines for a global flavors and fragrances company, transforming raw data into business-ready datasets to power analytics and AI initiatives.
Builds and refines user-facing interfaces and backend services for Neo4j’s graph analytics cloud platform, focusing on React-based UIs, TypeScript, and Go/Java/Python APIs.
Builds LLM-powered agents that turn natural language into data analysis, using Python, pandas, LangChain, and text-to-SQL toolkits to process CSV and database queries.
Build and maintain MetricCAT, a Streamlit-based KPI dashboard that integrates data from Jira, ServiceNow and Confluence to help Agile teams track and improve performance.
Lead AI engineering teams to design and deliver scalable generative-AI and data platforms for clients in automotive, healthcare, and other sectors, using Python, cloud stacks, and MLOps tooling.
Build and automate data pipelines for deep-learning time-series models, including dataset generation, performance analysis, and Docker-based workflows using Python, MATLAB, and C++.
Build and deploy intelligent AI agents using LangChain, LangGraph, and LLMs to automate enterprise supply-chain workflows with Python, FastAPI, and cloud-native tools.
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…
Senior analyst building and maintaining AI-enabled investment data pipelines; daily work blends SQL/Python analysis, Snowflake data-warehouse queries, and Copilot-assisted development to improve data quality and reporting for fixed income, equities, and derivatives.
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