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Develops forecasting models for autonomous vehicle fleet operations, focusing on availability, staffing, charging, and infrastructure needs to support scalable ride-hailing services.
Build AI-native analytics to optimize OpenAI’s real estate and workplace operations, blending forecasting, experimentation, and agentic dashboards to guide space, services, and investment decisions.
Builds explainable AI models (NLP, LLMs, retrieval systems) to analyze trillions of daily signals, enabling GTM teams to act on account insights via RevvyAI and APIs. Owns end-to-end ML pipelines, collaborates with product/GTM, and mentors engineers.
Leads the conversational core of ServiceNow’s Voice AI platform, focusing on dialog quality, LLM selection, and customer enablement for enterprise voice agents. Owns product roadmap, scaling from early adopters to 100+ customers annually while competing with startups and CCaaS incumbents.
Owns end-to-end development of chatbot/voicebot solutions using LLMs, NLU, and agentic AI, from prompt engineering to system integration, optimization, and safeguarding for enterprise clients.
Job Description Your mission as a Data Scientist at ID90 Travel is to bridge the gap between technical execution and business goals by owning data science initiatives end-to-end. You’ll be part of our Data Team,…
The Senior Data Scientist will lead machine learning efforts for physical measurement data, focusing on anomaly detection and classification using Python. The role involves improving existing production models, mentoring team members, and collaborating with hardware specialists to enhance data quality and model performance.
Build and maintain predictive models (GLM, XGBoost, Random Forest) for insurance underwriting and claims using Python and AWS SageMaker, then deploy them to production.
Research and implement AI safety techniques to evaluate and assure the reliability of Helsing’s AI systems, focusing on uncertainty quantification, robustness, and adversarial testing.
The MLOps & DevOps Engineer will design and maintain infrastructure and automated pipelines for scalable AI platforms and RAG workflows. The role involves working with GCP, Terraform, GKE, and Vertex AI to manage model deployment, data ingestion, and system observability.
Job Description: The successful candidate will join a specialised team focused on developing machine learning and AI-driven capabilities that deliver valuable insights from large-scale, real-time distributed systems…
This internship offers a unique blend of business analysis and data science exploration within the AI landscape. As a Data Scientist Intern (AI Analyst Intern), you'll conduct market research to identify key…
The Associate Data Scientist will build AI-powered solutions, including LLM-based agents and recommendation systems, to improve sales and marketing productivity at Gartner. The role involves prototyping, model development, and collaborating with cross-functional teams to drive business outcomes.
Lead a team to build and deploy production-grade ML models for real-time e-commerce and payments systems, driving commercial outcomes at scale.
Build and deploy AI solutions using NLP, LLMs, and knowledge graphs for financial workplace investing products, focusing on document processing, assistants, and anomaly detection.
Leads AI platform engineering for Capital One’s distributed Gen AI systems, designing scalable LLM inference, guardrails, and vector search infrastructure to power real-time banking applications.
Designs, builds, and deploys scalable ML models and pipelines for Disney’s media/commerce platforms, focusing on production-grade systems, MLOps, and cross-team collaboration.
Designs, builds, and deploys advanced AI/ML solutions (Generative AI, LLMs, RAG, AI agents) to solve business challenges, leading architecture, development, and customer advisory efforts.
Builds production AI infrastructure and tools for Morningstar DBRS, enabling teams to deploy AI solutions responsibly across research, analysis, and workflows using AWS Bedrock and related services.
Builds and deploys ML models to analyze store equipment telemetry data, using Python, PySpark, and Azure cloud tools to drive operational insights and efficiency.
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