
Ai/ml Trainer
3 days ago
**Experience**: Minimum 5 years
**Job Type**: Freelance/Part-time
**Location**: Remote/Work from Home
**Key Responsibilities**:
- Deliver comprehensive training sessions on **AI** and **Machine Learning** concepts, frameworks, and tools, such as **TensorFlow**, **PyTorch**, **Keras**, **Scikit-learn**, etc.
- Create and curate engaging training materials, presentations, and practical labs to enhance learning.
- Provide in-depth knowledge on key topics, including supervised/unsupervised learning, deep learning, neural networks, natural language processing (NLP), and computer vision.
- Conduct assessments, project reviews, and provide constructive feedback to learners.
- Stay updated with the latest advancements in AI/ML to ensure the training content remains current and relevant.
**Key Requirements**:
- Minimum 5 years of experience in **AI** and **Machine Learning**, with practical experience in real-world projects.
- Proven experience in training professionals with excellent communication and presentation skills.
- Proficiency with AI/ML tools such as **TensorFlow**, **PyTorch**, **Keras**, **Scikit-learn**, **OpenCV**, etc.
- Hands-on experience with **data preprocessing**, **model evaluation**, and **deployment techniques**.
- **Freelancers** or part-time trainers are preferred.
**Preferred Skills**:
- AI/ML certifications (e.g., **TensorFlow Developer**, **AWS Certified Machine Learning Specialist**, etc.).
- Experience with cloud-based AI platforms like **Google Cloud AI**, **Azure Machine Learning**, or **AWS ML**.
- Knowledge of **NLP**, **Reinforcement Learning**, and **Edge AI** is a plus.
**Why Join Us?**
- Work remotely with flexible hours.
- Competitive remuneration.
- Opportunity to work with cutting-edge technologies and a talented team.
**Job Type**: Freelance
Contract length: 12 months
Pay: From ₹3,000.00 per day
Schedule:
- Day shift
- Evening shift
- Monday to Friday
- US shift
- Weekend availability
- Weekend only
**Education**:
- Bachelor's (required)
**Experience**:
- Teaching: 5 years (preferred)
License/Certification:
- Certification (preferred)
Shift availability:
- Night Shift (preferred)
- Overnight Shift (preferred)
- Day Shift (preferred)
Work Location: Remote
Application Deadline: 20/10/2024
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