Machine Learning Trainer
2 weeks ago
**Key Responsibilities**:
- **Deliver high-quality training sessions** on Machine Learning, Deep Learning, AI, and related technologies.
- **Develop curriculum and learning materials** (presentations, assignments, labs, projects).
- **Mentor and guide learners** through hands-on exercises, coding sessions, and real-world case studies.
- Explain complex ML concepts (e.g., supervised/unsupervised learning, neural networks, model evaluation) in a **simple and engaging way**.
- Stay updated with **latest ML tools, frameworks, and research trends**.
- **Assess learners’ performance**, provide constructive feedback, and support their career readiness.
- Collaborate with the academic/product team to **continuously improve course content** and learning outcomes.
- (Optional) Contribute to **AI research projects or content development** for the organization.
**Required Skills & Qualifications**:
- Bachelor’s or Master’s degree in **Computer Science, Data Science, AI/ML, or a related field**.
- **Strong programming skills** in Python (experience with NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch).
- Solid understanding of:
- Machine Learning algorithms (regression, classification, clustering, etc.)
- Deep Learning concepts (CNNs, RNNs, LSTMs, etc.)
- Data preprocessing, feature engineering, and model evaluation techniques.
- Excellent **communication and presentation skills**.
- Passion for **teaching, mentoring, and simplifying complex topics**.
- 2+ years of experience as an **ML engineer, data scientist, or technical trainer**.
- Familiarity with **cloud ML platforms** (AWS Sagemaker, Google AI, Azure ML, etc.).
- Knowledge of **MLOps, NLP, or Generative AI** is a plus.
- Experience creating **project-based learning content** for learners.
**Job Types**: Full-time, Part-time, Permanent
Pay: ₹35,000.00 - ₹60,000.00 per month
**Benefits**:
- Provident Fund
Work Location: In person
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