
Data Science Trainer
1 day ago
**About the Role**:IIDST is seeking a dedicated **Technical Data Science Trainer** to lead the next generation of AI and Data Science professionals. This is more than just a job—it’s an opportunity to shape careers, contribute to the AI ecosystem, and establish yourself as a leader in AI training. If you're passionate about teaching and technology, and eager to transform learners into skilled AI professionals, we want you on our team
**Why Join IIDST?**This role offers a platform to enhance your professional brand while influencing future AI/ML experts. You'll be instrumental in equipping learners with cutting-edge AI knowledge and industry-relevant skills.
**Required Skills**:
- AI, Machine Learning (ML), Deep Learning, MLOps, GenAI,
- Python, NumPy, Pandas,
- Statistics, Computer Vision, Natural Language Processing (NLP)
- Tableau, Power BI, Big Data
**Essential Qualifications**:
- B.Tech., M.Tech., MCA, or equivalent experience
- 3-4 years of hands-on experience in AI/ML training or development
**Expertise Required**:
- **Technical Proficiency**: Strong grasp of AI, ML, Deep Learning, Computer Vision, and Python.
- **Tools & Frameworks**: Experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face, NumPy, Pandas, Matplotlib, Seaborn, and R.
- **Effective Communication**: Ability to break down complex technical concepts into simple, engaging explanations.
- **Problem-Solving Skills**: Expertise in debugging, troubleshooting, and mentoring learners.
**Key Responsibilities:1. Training Delivery**
- Conduct engaging AI, ML, Deep Learning, and Python training sessions for individuals and teams.
- Adapt teaching methods to suit different skill levels, from beginners to advanced professionals.
**2. Curriculum Development**
- Design and update structured course materials, including presentations, coding exercises, and case studies.
- Ensure training content remains aligned with evolving industry trends and best practices.
**3. Hands-On Learning & Mentorship**
- Guide learners through real-world coding exercises, project-based learning, and hands-on labs.
- Provide personalized mentorship, troubleshooting support, and career guidance.
**4. Assessment & Evaluation**
- Develop assessments to measure learning progress and competency levels.
- Offer detailed feedback to enhance learner performance.
**5. Domain-Specific Expertise**
- Teach AI/ML fundamentals, including supervised/unsupervised learning, reinforcement learning, NLP, and computer vision.
- Train learners on LLMs like GPT and BERT, focusing on fine-tuning and deployment.
- Cover deep learning topics such as neural networks, CNNs, RNNs, and transformers.
**6. Staying Updated on Trends**
- Keep up with the latest AI advancements, including generative AI and explainable AI.
- Integrate emerging technologies into training materials for a future-ready learning experience.
**7. Soft Skills & Collaboration**
- Foster an interactive and engaging learning environment.
- Communicate complex topics effectively to both technical and non-technical audiences.
**Job Types**: Full-time, Permanent
Pay: ₹35,000.00 - ₹50,000.00 per month
Schedule:
- Day shift
- Morning shift
- Weekend availability
Work Location: In person
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