Python Full Stack Trainer

6 days ago


Rajahmundry, India Academic Xcell Solutions Full time

**Key Responsibilities**:

- Design and deliver training sessions on Python programming, AI concepts, and ML algorithms.
- Develop course materials, including lesson plans, presentations, coding assignments, and real-world projects.
- Provide hands-on guidance in implementing ML models and AI solutions using Python.
- Conduct practical lab sessions and assist students with coding and debugging.
- Prepare students for internships by enhancing their skills in AI/ML and guiding them on project-based learning.
- Stay updated on the latest trends in AI/ML and integrate them into the training program.
- Evaluate students' performance through assignments, projects, and periodic assessments.
- Mentor students and provide career guidance related to AI/ML fields.

**Requirements**:

- Proven experience as an AI/ML Trainer or a related role.
- Proficiency in Python programming and popular AI/ML libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and Keras.
- In-depth knowledge of AI and ML concepts, including supervised and unsupervised learning, neural networks, and deep learning.
- Strong teaching and communication skills with the ability to simplify complex concepts.
- Experience in project-based learning and guiding students through real-world projects.
- Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, or a related field.

**Preferred Qualifications**:

- Industry certifications in AI/ML or Python.
- Experience with tools like Jupyter Notebook, Google Colab, and cloud platforms for AI/ML.
- Knowledge of data visualization libraries such as Matplotlib and Seaborn.

**Salary**: Competitive package based on experience and expertise.

**How to Apply**:
**Job Types**: Part-time, Freelance
Contract length: 3 months

Pay: From ₹15,000.00 per month

Schedule:

- Day shift

**Education**:

- Bachelor's (preferred)

**Experience**:

- Angular: 1 year (preferred)
- total work: 1 year (preferred)
- Java: 1 year (preferred)

Work Location: In person



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