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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.
Lead a data science team to build ML models and analytics that improve membership growth, retention, and value for Sam's Club using Python, SQL, and Spark.
Lead a data-science team to build and deploy ML models that turn business questions into actionable insights using Python, SQL, and Java.
Principal Data Scientist builds and deploys large-scale AI systems, autonomous agents, and ML pipelines at Walmart, using PyTorch, LangChain, and multi-cloud platforms.
Lead a data-science team to build ML/AI models that automate contractor earnings, tax, and compliance processes, ensuring accuracy and regulatory alignment while scaling solutions across Walmart’s global operations.
Build and maintain the AI/ML infrastructure for Stanford Health Care, deploying scalable Kubernetes clusters, CI/CD pipelines, and observability tools to run autonomous agent systems and healthcare AI models.
Build and optimize ML systems that power Meta’s social platforms, using frameworks like TensorFlow/PyTorch to improve user experiences and drive global-scale features.
Build and maintain data pipelines, analyze large datasets, and develop ML models to drive business insights using Python, SQL, and cloud tools.
Build and maintain microservices, Kafka-based event streaming, and AI integrations for McKesson’s healthcare supply-chain platform using Java/Python and cloud-native tools.
Build and deploy AI/ML models and LLM-powered applications using Python, scikit-learn, and cloud AI services to solve retirement-industry challenges and automate workflows.
Build and deploy ML models to detect and remove harmful content, using Python, PyTorch, and AWS to protect children from exploitation.
Build and deploy ML models for an Australian payments company using AWS SageMaker, Python, and MLOps practices.
Develop AI/ML requirements and policy for defence programs, using Python and frameworks like PyTorch/TensorFlow to support autonomous systems and loitering munitions projects.
Build and scale Spring Health’s AI-native platform, enabling GenAI features and MLOps best practices across the org using Python, Kubernetes, and cloud tools.
Build and ship AI-powered conversational agents and NLP models that analyze sales calls at scale, turning raw conversations into actionable revenue insights for global sales teams.
Work-study role building and improving pricing algorithms using Python, SQL, and ML to optimize revenue for a hospitality-tech company.
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