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.