AI/ML Trainer
TechBairn
Details
About TechBairn: TechBairn is a leading edtech company dedicated to bridging the gap between academia and industry by delivering high-quality, hands-on training in emerging technologies. With a strong presence in colleges across India and a growing online learning community, we empower students to become industry-ready professionals.
Role Overview: We are looking for a passionate and knowledgeableArtificial Intelligence & Machine Learning (AI/ML) Trainer to join our expert pool of instructors. As an AI/ML Trainer, you will be responsible for delivering interactive sessions, designing curriculum content, mentoring students, and contributing to building an impactful learning experience for aspiring data scientists and AI engineers.
Key Responsibilities:
- Deliver engaging, hands-on training sessions on AI, Machine Learning, and related tools (Python, scikit-learn, TensorFlow, etc.)
- Develop and update training materials, projects, and assignments aligned with industry standards
- Guide students through real-world projects such as predictive modeling, NLP, computer vision, etc.
- Support learners through live sessions, Q&A forums, and doubt-solving
- Evaluate student performance and provide constructive feedback
- Stay updated with the latest trends, tools, and practices in AI/ML
Requirements:
- Strong knowledge of AI/ML concepts including supervised/unsupervised learning, deep learning, NLP, and model evaluation
- Proficiency in Python and ML libraries such as NumPy, Pandas, Matplotlib, scikit-learn, TensorFlow, Keras, etc.
- Prior teaching, mentoring, or public speaking experience is preferred
- Ability to explain complex topics in a simple and engaging manner
- Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or related field
- Passion for teaching and mentoring students
Nice to Have:
- Industry experience in AI/ML projects
- Experience with tools like Jupyter Notebook, Google Colab, MLflow, etc.
- Certifications in AI/ML from platforms like Coursera, edX, etc.
Important dates & deadlines?
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15 Jul'25, 12:00 AM IST Registration Deadline
Contact the organisers
Send queries to organizersAdditional Information
Experience
Max Experience: 1 Year
Stipend
Work Detail
Working Days: 5 Days
Job Type/Timing
Job Type: Work From Home
Job Timing: Full Time
Perks
Learning Allowance
Flexible Hours
Counselling Support