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Principal Research Data Scientist at AbbVie designs and builds AI/ML solutions—including LLM integration and graph analytics—to support pharmaceutical R&D, using technologies like Neo4j and Elasticsearch.
Freelance data scientist builds and maintains the data foundations for an AI agent platform, including canonical models, knowledge graphs, and retrieval pipelines using Python, Neo4j, and vector databases.
This role focuses on building and maintaining both internal tools and external-facing applications that support solar EPCC operations, spanning workflow automation and dashboards to customer- and partner-facing…
Designs data schemas, ontologies, and lakehouse architectures to make AI-native drug discovery possible, transforming raw scientific data into FAIR-compliant, machine-actionable assets for both scientists and AI agents.
Designs, builds, and deploys machine learning systems and MLOps pipelines on Azure Databricks to drive business value for a global materials science company.
Builds and maintains internal tools, dashboards, and external-facing applications for a solar energy company, focusing on workflow automation, APIs, and integrations with third-party platforms like Power Automate and IoT systems.
Job Description About us Joining Busuu means being part of one of the top EdTech companies in the world, a multiple award-winner recognised for its innovation and impact in language learning. Busuu's vision is to…
Build and maintain Angular-based web apps for a manufacturing data platform, integrating with REST APIs and knowledge graphs to deliver responsive dashboards and data visualizations.
Designs and maintains data pipelines for a science-driven company in health, nutrition, and beauty, using tools like dbt, SQL, Python, and Spark to integrate and transform scientific datasets.
Build and own the agent orchestration layer for an AI-powered LinkedIn marketing automation product, using Next.js, TypeScript, and Mastra to create and refine agent workflows.
Build and ship autonomous threat-detection features (honeytokens, honeypots) for a cybersecurity platform that runs continuous pentests across hybrid networks.
Build and deploy graph machine learning systems using Graph Neural Networks and graph databases to extract insights from large, connected datasets and drive business impact.
Designs and migrates enterprise-grade databases (SQL, NoSQL, graph, vector) across Azure and on-premises, ensuring scalability, security, and performance for an energy company.
Lead the architecture and scaling of Salesforce’s data pipelines and enterprise identity graphs to power AI agents, using Python, SQL, Spark, and graph databases like Neo4j.
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve…
Leads the design and delivery of AI systems including LLM-driven agents, RAG, and a knowledge graph to enhance financial advisor workflows, using AWS Bedrock and Python-based services.
Designs and implements graph databases and ontology models for BFSI use cases, building entity-relationship pipelines and semantic enrichment for AI-driven applications.
Designs and builds graph databases and semantic pipelines for banking/finance use cases, focusing on entity relationships and knowledge graphs with Neo4j and Python.
Designs and evaluates AI-driven data solutions for Sales and Marketing at Thermo Fisher Scientific, focusing on LLM agents, data readiness, and analytics using Python, SQL, and cloud platforms.
Brahma AI operates at the intersection of enterprise Media Asset Management (MAM) and cutting-edge generative media. We build and scale industry-leading generative AI models, including hyper-realistic digital humans…
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