AIML & Data Science Faculty
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Job Details
AIML & Data Science Faculty
Role Overview:
Hiring faculty to teach AI/ML & Data Science, guide projects, mentor students, and stay updated with tech trends.
Key Responsibilities:
- Conduct lectures on AI, Machine Learning, and Data Science.
- Create and update course content and projects.
- Guide students on practical work and research.
- Mentor students in academics and career planning.
- Stay updated with latest trends in AI/ML and Data Science.
- Evaluate student performance and provide feedback.
- Contribute to curriculum development.
Skills & Tools (Short):
- Python, SQL, Excel
- Power BI
- Data Preprocessing & Feature Engineering
- Maths & Advanced Statistics
- Supervised & Unsupervised Learning
- Model Selection & Evaluation
- Deep Learning & Reinforcement Learning
- NLP, GenAI & Large Language Models (LLMs)
- Business Case Studies & Live Projects
Education & Experience Requirements:
- Bachelor's/Masters/Ph.D. in Computer Science, AI, Data Science, or a related field.
- Minimum 1+ years of teaching or industry experience in AI/ML and Data Science.
- Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools.
- Practical exposure to real-world AI applications, model deployment, and business analytics.
- For further information, please feel free to contact 7862813693 us via email at career@rwskill.edu.in
Additional Requirements:
● Strong communication skills with confident body language and effective interaction.
● Ability to manage classrooms, maintain discipline, and create a supportive learning environment.
● Problem-solving and leadership skills to guide students effectively.
● Professionalism, punctuality, and dedication to delivering high-quality lessons.
● Alignment with the institute’s mission and values by focusing on student success and innovation.
Why Red & White Education Pvt. Ltd.?
● Competitive salary and performance-based bonuses
● Opportunities for career growth and professional development.
● Collaborative and inclusive work environment.
● Work with a diverse portfolio of people from various domains