Machine Learning Instructor / Trainer

Role & responsibilities

• Deliver high-quality classroom and online training sessions on

  Machine Learning, AI, and Data Science

  topics.
• Design and update course content, projects, and assignments in line with current industry standards.
• Provide practical, hands-on training using Python, R, TensorFlow, Scikit-Learn, Keras, PyTorch, etc.
• Guide students through capstone projects and mentor them on real-world ML applications.
• Evaluate and track student progress through assessments and feedback sessions.
• Collaborate with the content and technology teams to improve the learning experience.
• Stay updated with the latest AI/ML research and technology trends.

Preferred candidate profile

• Any Bachelors/Masters degree in Computer Science, Data Science, or a related field.
• Minimum 1

  + years of hands-on experience

  in Machine Learning / AI projects.
• Proficiency in

  Python, R, and popular ML frameworks

  (Scikit-learn, TensorFlow, Keras, PyTorch).
• Strong understanding of key concepts: supervised/unsupervised learning, deep learning, NLP, data preprocessing, model evaluation, and deployment.
• Excellent communication and presentation skills.
• Experience with

  online training platforms or instructor-led courses

  is an added advantage.

Preferred Qualifications

• Certification in AI/ML or Data Science (e.g., Coursera, AWS, Google, or IBM).
• Experience working with

  cloud-based ML platforms

  (AWS SageMaker, Azure ML, Google Vertex AI).
• Exposure to

  MLOps, data visualization tools (Power BI, Tableau)

  or

  Big Data frameworks (Spark, Hadoop)

  is a plus.

Compensation & Benefits

• Competitive salary or hourly training rate (based on experience and mode of engagement).
• Performance-based incentives.
• Opportunity to lead corporate training batches and global online sessions.
• Flexible working hours and hybrid teaching options.

How to Apply

@ibergtechnology.com