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AI / ML Part-Trainer(offline)

AI / ML Part-Trainer(offline)

ConfidentialHyderabad / Secunderabad, Telangana, India
5 days ago
Job description

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

  • 3–5 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
  • Skills Required

    Natural Language Processing, Deep Learning, Tensorflow, Pytorch, Gcp, Machine Learning Algorithms, Azure, Python, Computer Vision, Aws

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