CAI Stack

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About
CAI Stack is an autonomous generative AI platform trusted by 50+ leading enterprises. It offers AI solutions for retail, finance, and media, focusing on automating workflows, cutting costs, and optimizing operations. The platform supports the entire AI lifecycle, from data ingestion to deployment, with enterprise-grade security and seamless integration. It includes solutions like AI Discovery, Store & Space Optimization, AI Merchandising, Demand Performance, Financial AI Agent, Fraud Prevention, KYC & CDD, Customer Intelligence, Recommendation Engine, Audience Pulse, Performance Forecasting, AI HR Agent, AI Sales Agent, AI Marketing Agent, Contact Center Agent, and Workflow Automation. Products include the CAI Platform, AI Human Assist, and SupplyChain AI. CAI Stack also boasts cost management features and various integrations with popular tools.
Platform
Task
Features
• personalized recommendations
• ai-powered search engine
• intelligent document processing
• fraud prevention
• anti-money laundering (aml)
• store layout optimization
• actionable customer insights
• automated kyc & cdd
FAQs
What is CAI Stack and what does it offer?
CAI Stack is an AI-driven suite designed to optimize business operations, improve customer experiences, and help make smarter decisions in industries like retail, finance, and media. It offers AI-driven solutions, including AI-powered Search Engine, Personalized Recommendations, Fraud Prevention, Automated KYC & CDD, Anti-Money Laundering (AML), Intelligent Document Processing, and actionable customer insights. It empowers businesses to optimize store layouts, merchandising strategies, and inventory forecasting, with advanced AI Agents helping them stay competitive with scalable, secure AI solutions. Products include CAI Platform, AI Human Assist, and SupplyChain AI. CAI Stack drives business success and change for long-term growth.
Job Opportunities
DevOps Engineer- Big Data
Autonomous Generative AI platform for automating workflows, cutting costs, and optimizing operations in retail, finance, and media.
Experience Requirements:
3+ Years Exp.
DevOps Skills: CI/CD Pipeline | Terraform or CloudFormation | Ansible, Puppet, or Chef | Docker and Kubernetes | Git
Big Data Technologies: HDFS, MapReduce, Hive, Pig, Spark | Cassandra, MongoDB, HBase | Apache Kafka
Programming and Scripting: Java, Python, or Scala
Cloud Platforms: AWS, Azure, or Google Cloud | AWS EMR, Azure HDInsightSecurity: Knowledge of security best practices for infrastructure and dataProblem-Solving and Troubleshooting
Responsibilities:
Big Data DevOps Engineer specializing in data infrastructure and operations
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Data Science Engineer (SDE I)
Autonomous Generative AI platform for automating workflows, cutting costs, and optimizing operations in retail, finance, and media.
Experience Requirements:
4+ Years Exp.
Programming Languages: Python, R, or Java
Data Analysis and Modeling: sci-kit-learn, TensorFlow, PyTorch
Database and Data Manipulation: Big data technologies like Apache Spark
Data Visualization: Tableau, Matplotlib, or Seaborn.Data Engineering: Understanding of data pipeline architecture and development.Machine Learning Deployment: Knowledge of deploying machine learning models into production. | Docker
Responsibilities:
Data Science Engineer I - Analyze data, drive insights, and innovate solutions
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Product Manager-Decision Science
Autonomous Generative AI platform for automating workflows, cutting costs, and optimizing operations in retail, finance, and media.
Experience Requirements:
4+ Years Exp.
Product Management Skills: Experience in product management, preferably in a technology or AI-related field.
Decision Science Expertise: Experience in designing algorithms and models to support decision-making processes.
AI and Machine Learning Knowledge: TensorFlow, PyTorch, or scikit-learn
Data Analysis and Statistics:Technical Proficiency: Python, R, or JavaCommunication and Leadership | Business Acumen | Problem-solving and Critical Thinking
Responsibilities:
Product Manager specializing in Decision Science for data-driven innovation
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Ratings & Reviews
Average Rating: 5.0
Average Rating: 5.0
5 Stars:
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User Reviews
1/28/2025
Automate workflows, cut costs, and optimize operations with AI solutions. Empower your enterprise with agility, scalability, and innovation-driven technology.
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