AI/ML & Data Science Faculty/ Trainer

About Us:
Red & White Education Pvt. Ltd., established in 2008, is Gujarats top NSDC & ISO-certified institute focused on skill-based education and global employability.

Role Overview:
Were hiring a full-time Onsite AI, Machine Learning, and Data ScienceFaculty/ Trainer with strong communication skills and a passion for teaching,

Key Responsibilities:

• Deliver high-quality lectures on AI, Machine Learning, and Data Science.
• Design and update course materials, assignments, and projects.
• Guide students on hands-on projects, real-world applications, and research work.
• Provide mentorship and support for student learning and career development.
• Stay updated with the latest trends and advancements in AI/ML and Data Science.
• Conduct assessments, evaluate student progress, and provide feedback.
• Participate in curriculum development and improvements.

Skills & Tools:

• Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis.
• Programming: Python, SQL (Must), Pandas, NumPy, Excel.
• ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face.
• Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly.
• NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2.
• Advanced AI: Transfer Learning, Generative AI, Business Case Studies.

Education & Experience Requirements:

• Bachelor's/Master’s/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@rnwmultimedia.edu.in

Job Types: Full-time, Permanent

Pay: ₹30,000.00 - ₹35,000.00 per month

Benefits:

• Flexible schedule
• Leave encashment
• Paid sick time
• Paid time off
• Provident Fund

Schedule:

• Day shift

Supplemental Pay:

• Performance bonus
• Yearly bonus

Work Location: In person