AI/ML Trainer- Hyderabad

1 day ago

Hyderabad, Telangana, India CliniLaunch Research Institute Full time ₹ 4,00,000 - ₹ 12,00,000 per year

Job Overview

CliniLaunch Research Institute is seeking a skilled and passionate Part-Time AI/ML Trainer to conduct offline classroom sessions for students and professionals aspiring to build a career in Artificial Intelligence and Machine Learning.

The ideal candidate should have strong industry experience, the ability to simplify complex AI/ML concepts, and a passion for teaching and mentoring learners to achieve professional excellence.

Key Responsibilities

  • Conduct offline (in-person) classroom training sessions on:
  • Machine Learning Algorithms
  • Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Model Evaluation & Deployment
  • Python for Data Science
  • Guide students through practical, hands-on projects using Python, TensorFlow, PyTorch, Scikit-learn, and Jupyter Notebooks.
  • Support students in preparing for recognized certifications (e.g., TensorFlow Developer, AWS Certified Machine Learning).
  • Evaluate learner performance and provide personalized feedback.
  • Collaborate with the academic team to improve course content and delivery.
  • Stay updated with AI/ML advancements and integrate new tools and technologies into training.

Required Qualifications

  • 5 years of professional experience in AI, Machine Learning, or Data Science.
  • Proven experience as a trainer, mentor, or instructor in AI/ML.
  • Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.).
  • Excellent communication and presentation skills.
  • Experience with cloud-based ML platforms (AWS, Azure, or GCP) is an advantage.

Preferred Certifications

  • TensorFlow Developer Certificate
  • AWS Certified Machine Learning – Specialty
  • Microsoft Certified: Azure AI Engineer Associate
  • IBM AI Engineering Professional Certificate
  • Google Cloud Professional Machine Learning Engineer

Key Skills & Attributes

  • Strong foundation in supervised/unsupervised learning, deep learning, and model optimization.
  • Ability to engage students and simplify complex technical concepts.
  • Passion for mentoring and guiding aspiring professionals.
  • Excellent organizational and time management skills for part-time classroom sessions.

Compensation

  • Based on the number of batches delivered

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