Artificial Intelligence Engineer

6 days ago

Guindy Tamil Nadu, India deepkore Full time ₹ 5,00,000 - ₹ 8,00,000 per year

Location: Chennai

Department: AI/ML Engineering & Product

About Deepkore

Deepkore lets you transform ideas into powerful enterprise applications that adapt to your business needs. One platform. No coding. Completely hassle-free. We're revolutionizing how businesses build and deploy enterprise applications through our no code platform that combines intuitive design with AI-powered intelligence. Transform your business and boost productivity with Deepkore—effortlessly build enterprise apps that keep pace with your business's rapid growth, all without writing a single line of code. You'll join our growing engineering team as we enhance our platform with cutting-edge AI capabilities that make application building even more intelligent and intuitive for our enterprise customers.

The Role

Join our AI team as an AI Intern and help build the next generation of intelligent features for Deepkore's no-code enterprise platform. You'll work at the intersection of machine learning and full-stack development, creating AI solutions that make application building more intuitive and powerful for enterprise users. This isn't just about building models—you'll see your work integrated into a platform that transforms how businesses create and deploy applications.

What You'll Do

Core Responsibilities

  • Build & Deploy ML Models: Develop recommendation engines, predictive analytics models, and NLP features for our core platform
  • Full-Stack Integration: Collaborate with our MERN stack team to seamlessly integrate AI features into our web application
  • Prototype & Experiment: Rapidly test new AI-driven features using A/B testing and user feedback
  • Documentation & Presentation: Create technical documentation and present findings to cross-functional teams

Specific Projects You Might Work On

  • Smart App Generation: AI-powered suggestions for app structures and workflows based on business requirements
  • Intelligent Component Recommendations: ML models that suggest optimal UI components and data flows
  • Natural Language App Building: NLP interfaces that convert business descriptions into functional app prototypes
  • Automated Testing & Optimization: AI systems that test and optimize app performance automatically Smart Data Integration: ML-powered connectors that intelligently map and transform enterprise data sources

What We're Looking For

Required Qualifications

  • Strong Python Skills: Proficient with scikit-learn, pandas, numpy, matplotlib/seaborn
  • ML Fundamentals: Understanding of supervised/unsupervised learning, model evaluation, and feature engineering
  • Problem-Solving Mindset: Ability to break down complex problems and iterate quickly
  • Communication Skills: Can explain technical concepts to both technical and non technical stakeholders

Highly Preferred (MERN Stack Knowledge)

  • React: Component-based development, hooks, state management
  • RESTful API development and server-side logic
  • MongoDB: Database design and querying for ML application
  • Full-Stack Understanding: How ML models integrate with web applications

Bonus Points

  • Experience with TensorFlow, PyTorch, or Hugging Face Transformers
  • Knowledge of cloud platforms (AWS SageMaker, GCP AI Platform, Azure ML)
  • Familiarity with Docker, Git, and CI/CD workflows
  • Previous internship or project experience in production ML systems

Technical Skills

  • Production ML deployment and monitoring
  • Full-stack integration of AI features
  • Modern MLOps practices and tools
  • Agile development in a fast-paced environment

Ready to Apply?

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