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Designs and builds AI/ML models and data pipelines to improve infrastructure reliability, capacity forecasting, and operational automation for a large bank’s hybrid cloud and on-premises environments.
Build and deploy production-ready ML models for an early-stage AI company, focusing on classification and inference over industrial datasets while setting modelling standards.
Lead a team building AI/ML models for pattern recognition, anomaly detection, and predictive analytics to support military decision-making and survivability in surveillance environments.
Build AI-driven models for national security, analyzing geospatial and operational data to detect threats and support military decision-making using Python, SQL, and deep learning.
Senior Data Analyst builds Tableau dashboards, runs SQL queries, and supports AI/ML initiatives using SAS, Python, and generative AI tools for a government data-warehousing project.
Lead a team building AI agents that autonomously plan, test, and submit code changes via CI/CD, focusing on evaluation harnesses, PR-provenance controls, and operational readiness for safe bulk deployment.
Lead Software Engineer building autonomous agent capabilities for CI/CD pipelines and code remediation using Java, Python, and Kubernetes.
Lead end-to-end development of ML/AI models and statistical solutions to drive business decisions in a large CPG company, partnering with supply chain, marketing, and finance teams.
Build and deploy AI models for defense/intelligence missions using Python and PyTorch, from research to production deployment in Linux environments.
Lead the design and productionization of ML systems for auto-financing at scale, collaborating with data science and product teams to build, deploy, and monitor models using Python/Scala/Java and cloud platforms.
Lead the design and operation of a cloud-based AI/ML platform, enabling data scientists to build, train, and deploy models at scale using Kubernetes, AWS, and MLOps tooling.
Builds and maintains PySpark-based ML pipelines for anomaly detection and root cause analysis in semiconductor manufacturing, optimizing distributed data processing and deploying scalable models in production.
Build and optimize generative AI models and inference pipelines for Snapchat’s AR and creative tools, delivering scalable, on-device experiences for millions of users.
Develops AI/ML models for a real-time blood analysis diagnostic platform, bridging clinical data science and medical device engineering to translate research into deployable, clinically validated software for inflammatory condition detection.
Build and test quantitative models to uncover investment signals and support data-driven trading strategies using Python, SQL, and statistical methods.
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…
Builds and maintains data pipelines, applies ML models, and creates dashboards to extract insights from utility and infrastructure datasets for public-sector stakeholders.
Build and deploy AI models (LLMs, computer vision, signal processing) to automate environmental monitoring and impact studies, using Python and cloud tools.
Build and optimize generative AI models for Snapchat, including LLMs, video generation, and AR, focusing on efficient inference and on-device deployment.
Build and deploy large-scale AI systems and autonomous agents using ML, NLP, and multi-agent orchestration at enterprise scale for Walmart’s global operations.
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