Trainer, Data Science with AI

Naresh i Technologies

Hyderabad, Telangana, IndiaFresher1h agovia LinkedIn

This job at a glance

Who can apply
Freshers and up to 1 year · Bachelor's degree
Must know
Machine learningPythonPyTorchTensorFlowscikit-learnPandas
Work
On-site in Hyderabad
Pay
Not stated by the employer.
Listed
5 Nov 2026 · still open

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About the Role

The Trainer – Data Science with AI will deliver classroom-based training in data science, machine learning, and artificial intelligence concepts and tools at Naresh i Technologies’ Hyderabad campus. This is a full-time, on-site role.

Key Responsibilities

  • Design and update course curricula.
  • Prepare instructional materials.
  • Conduct interactive lectures, labs, and workshops.
  • Guide learners through projects.
  • Explain complex topics clearly.
  • Provide regular assessments, feedback, and mentoring.
  • Stay current with industry trends.
  • Integrate real-world use cases into training.
  • Collaborate with other trainers.
  • Contribute to the continuous improvement of training programs and learning resources.

Requirements & Tech Stack

  • Hands-on experience with data science and AI tools (e.g., Python, libraries such as pandas, NumPy, scikit-learn, TensorFlow or PyTorch).
  • Practical knowledge of machine learning concepts, model evaluation, and deployment basics.
  • Ability to work on-site in Hyderabad and adjust to flexible schedules.

Qualifications

  • Strong background in Science Education with the ability to connect concepts to data science and AI applications.
  • Solid foundation in Mathematics, including statistics, linear algebra, and basic probability relevant to data science.
  • Experience as a Qualified Teacher or trainer, with proven skills in classroom management and learner engagement.
  • Ability to perform effective Lesson Planning, designing structured modules, labs, and assessments.
  • Excellent communication, presentation, and mentoring skills, with a learner-centric approach.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field is preferred.
  • Prior experience in technical training, corporate training, or academic teaching in data-related domains is an advantage.

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