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Python Fullstack WITH REACT Trainer AND AI/ML Trainer

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Onsite

Python Fullstack WITH REACT Trainer AND AI/ML Trainer

Datapro Computers

Python Fullstack WITH REACT Trainer AND AI/ML Trainer

Skills

SQL QueriesDeep LearningReactDjangoFlaskPythonNumPypandasKerasPyTorchTensorFlowPostgreSQLMySQLMachine LearningAIGitHubNLP / Natural Language ProcessingJavascript

2 months ago

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Important information


Contract type:

Permanent

Location:

Kovvur, Andhra Pradesh, India

Work mode:

Onsite

Published on:

22 August 2026

What they need


Python Full Stack with React Trainer

Experience: 1-2 Years

Job Summary:
We are looking for a Python Full Stack with React Trainer to deliver practical, industry-oriented training in full-stack web development.

Key Skills:

  • Python, Django / Flask
  • HTML, CSS, JavaScript
  • React.js
  • REST APIs and JSON
  • SQL / MySQL / PostgreSQL
  • Git & GitHub
  • Frontend and backend integration
  • Basic deployment concepts
  • Strong communication and presentation skills
  • Ability to create hands-on projects and coding exercises

Responsibilities:

  • Conduct technical training sessions and practical coding classes.
  • Explain concepts through real-time projects and assignments.
  • Prepare training materials, exercises, and assessments.
  • Guide learners in developing full-stack applications.
  • Evaluate learner performance and provide feedback.

AI/ML Trainer

Experience: 1-2 Years

Job Summary:
We are looking for an AI/ML Trainer to deliver hands-on training in Python, machine learning, and AI concepts through practical projects.

Key Skills:

  • Python programming
  • NumPy, Pandas, Matplotlib / Seaborn
  • Machine Learning fundamentals
  • Scikit-learn
  • Supervised & Unsupervised Learning
  • Data preprocessing and feature engineering
  • Model evaluation and optimization
  • SQL basics
  • Deep Learning fundamentals TensorFlow / Keras / PyTorch
  • Basic NLP / Generative AI knowledge is an advantage
  • Strong communication and presentation skills

Responsibilities:

  • Conduct practical AI/ML training sessions.
  • Explain ML concepts with real-world examples and projects.
  • Prepare assignments, coding exercises, and assessments.
  • Mentor learners on AI/ML projects.
  • Track learner progress and provide technical guidance.

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