Tech Stack
JavaKerasPythonPyTorchScikit-LearnTensorflow
About the role
- Develop comprehensive training materials, including presentations, hands-on exercises, and case studies, covering various AI/ML concepts, algorithms, and techniques
- Deliver engaging and informative training sessions to individuals and groups, both in-person and virtually
- Adapt training content and delivery methods to meet needs and skill levels of diverse audiences, including students, professionals, and executives
- Provide guidance and support during hands-on exercises and projects, offering assistance with coding, debugging, and troubleshooting
- Stay up-to-date with latest developments in AI/ML technologies, tools, and applications and incorporate best practices into training
- Collaborate with internal teams and external partners to identify training needs and develop customized training solutions
- Evaluate training effectiveness through assessments, surveys, and feedback and continuously improve programs
- Contribute to growth of the AI/ML community by participating in events, conferences, and online forums
- Provide mentorship and guidance to junior trainers and interns
Requirements
- 6-8 years of experience in AI/ML training or related field
- Bachelor's degree or higher in computer science, engineering, mathematics, or a related field
- Advanced degrees (Master's, Ph.D.) preferred
- Proven experience as a trainer, instructor, or educator focused on AI/ML topics
- Industry certifications (e.g., TensorFlow Developer Certificate) a plus
- Strong proficiency in Python, R, or Java
- In-depth knowledge of AI/ML concepts, algorithms, frameworks (TensorFlow, PyTorch), and tools (scikit-learn, Keras)
- Practical experience developing and deploying AI/ML models, including data preprocessing, model training, and evaluation
- Excellent communication skills with ability to explain complex technical concepts clearly
- Strong organizational and time management skills
- Collaborative and team-oriented mindset with passion for continuous learning
- Experience working in a training or consulting role within the AI/ML industry is a plus