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AI / ML Intern

Gautambuddha Nagar, UP, India

Selected Intern's day-to-day responsibilities include:

  • Collect, clean, and preprocess datasets for model training and evaluation
  • Develop, train, and fine-tune machine learning and deep learning models
  • Experiment with model architectures for NLP, computer vision, or time-series tasks
  • Assist in feature engineering, data analysis, and visualization
  • Evaluate model performance and optimize using metrics and hyperparameter tuning
  • Support deployment of ML models through APIs or inference pipelines
  • Collaborate with engineering teams to integrate AI features into products
  • Research and prototype new AI techniques and algorithms
  • Work with real-world datasets to improve accuracy, robustness, and scalability
  • Debug model issues and improve performance through data and model improvements
  • Maintain proper documentation of experiments, pipelines, and results
  • Stay updated with the latest research in AI/ML

  • Who can apply
  • Only those candidates can apply who:
    • Are available for a full-time (in-office) internship
    • Can start the internship between 1st May 2026 and 1st July 2026
    • Are available for a duration of 6 months
    • Have relevant skills and strong interest in AI/ML


    • Other requirements

  • Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related fields
  • Strong understanding of machine learning algorithms and deep learning fundamentals
  • Experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Familiarity with data processing libraries (NumPy, Pandas, OpenCV, etc.)
  • Understanding of neural networks, model training, and evaluation techniques
  • Knowledge of databases, APIs, and model deployment basics
  • Experience with Git, Jupyter Notebooks, and ML experimentation workflows
  • Good problem-solving skills, analytical mindset, and eagerness to learn
Mission Execution

Battlefield Decision Making

Strategic Operations

High-Stakes Leadership

Rapid Problem Solving

National Security Awareness
Responsibilities
  • Collect, clean, and preprocess datasets for model training and evaluation
  • Develop, train, and fine-tune machine learning and deep learning models
  • Experiment with model architectures for NLP, computer vision, or time-series tasks
  • Perform feature engineering, data analysis, and visualization
  • Evaluate model performance using appropriate metrics and optimize models
  • Support deployment of ML models via APIs or inference pipelines
  • Collaborate with engineering teams to integrate AI features into products
  • Research and prototype new AI techniques and algorithms
  • Debug and improve model performance and accuracy
Must Have
  • Bachelor’s/Master’s in Computer Science, AI/ML, Data Science, or related field
  • Strong understanding of machine learning and deep learning fundamentals
  • Experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Familiarity with data processing libraries (NumPy, Pandas, OpenCV)
  • Knowledge of model training, evaluation, and optimization techniques
  • Excellent written and spoken English
  • Strong analytical and problem-solving skills
Nice to Have
  • Experience with NLP, Computer Vision, or Generative AI
  • Knowledge of model deployment (APIs, cloud, or MLOps tools)
  • Familiarity with databases and data pipelines
  • Experience with Git and ML experimentation workflows
  • Participation in hackathons, Kaggle competitions, or AI projects
Operation Sindoor
Discover us.

What’s great in the job? 

  • Great team of smart people, in a friendly and open culture
  • No dumb managers, no stupid tools to use, no rigid working hours
  • No waste of time in enterprise processes, real responsibilities and autonomy
  • Expand your knowledge of various business industries
  • Create content that will help our users on a daily basis
  • Real responsibilities and challenges in a fast-evolving company

What We Offer

Each employee has a chance to see the impact of his work. You can make a real contribution to the success of the company.
Several activities are often organized all over the year, such as weekly sports sessions, team building events, monthly drink, and much more.

Perks

A full-time position
Attractive salary package.

Trainings

6 months of internship training and 3 months of probation for full-time roles.

Sport Activity

Play foosball with colleagues.

Eat & Drink

Tea and drinks provided at parties.



Apply Now!