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AI ML Intern

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Onsite

AI ML Intern

Cairovision

AI ML Intern

Skills

SQL QueriesDeep LearningDockerPythonData ScienceNumPypandasPyTorchTensorFlowData AnalysisMachine LearningAIGitHub

2 months ago

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Important information


Contract type:

Internship

Location:

Noida, Uttar Pradesh, India

Work mode:

Onsite

Published on:

26 August 2026

What they need


AI/ML Intern Computer Vision & Video Analytics

Job Description

We are looking for a motivated AI/ML Intern to join our team and work on real-world Artificial Intelligence, Machine Learning, Computer Vision, and Video Analytics projects.

The intern will work closely with our AI/ML and software development teams on data preparation, model development, testing, evaluation, and deployment.

Key Responsibilities

  • Assist in developing and training Machine Learning and Deep Learning models.
  • Work on Computer Vision and Video Analytics use cases.
  • Collect, clean, annotate, and preprocess image/video datasets.
  • Assist in model training, testing, evaluation, and optimization.
  • Work with object detection, classification, tracking, and image/video processing.
  • Analyze model performance and help reduce false detections.
  • Assist in integrating AI models with applications and APIs.
  • Perform testing and validation of AI models.
  • Document experiments, results, and model performance.
  • Research and learn new AI/ML techniques and technologies.

Required Skills

  • Basic to intermediate knowledge of Python.
  • Understanding of Machine Learning and Deep Learning concepts.
  • Knowledge of NumPy, Pandas, and OpenCV.
  • Basic knowledge of Scikit-learn.
  • Familiarity with TensorFlow or PyTorch.
  • Basic understanding of data preprocessing and model evaluation.
  • Good analytical and problem-solving skills.
  • Willingness to learn and work on real-world AI projects.

These skills are consistent with current AI/ML internship postings, which commonly emphasize Python, data preprocessing, NumPy/Pandas, ML frameworks, model evaluation, and problem-solving.

Good to Have

  • YOLO / object detection
  • OpenCV
  • Computer Vision
  • Image/video annotation
  • PyTorch or TensorFlow
  • Git/GitHub
  • SQL
  • REST APIs
  • Docker
  • Experience with any AI/ML academic or personal project

Eligibility

  • B.Tech / IT, AI/ML, Data Science, CSE
  • Final-year students and recent graduates can apply.
  • Candidates with academic projects or practical experience in AI/ML will be preferred.

Internship Details

Experience: Fresher / 0–1 year
Job Type: Full-time Internship
Duration: 6 Months
Location: [Your Location]
Stipend: [8k- 12k]

Note: Candidates with hands-on experience in Computer Vision, YOLO, OpenCV, or video analytics projects will be preferred.

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