We are looking for a technically proficient and impact-driven AI/ML Trainer.
NOTE: Kindly apply those who are have teaching/trainer experience.
Responsibilities In this role, you will be responsible for:
- Deliver AI/ML training sessions and mentor students
- Guide learners on EDA, ML, DL, NLP, and CV projects .
- Conduct assessments and provide technical support .
- Assist students in end-to-end model development and deployment.
- Strong proficiency in Python Programming .
- Experience in mentoring students and guiding them through real-world
AI/ML projects .
Required Skills
▪ Strong Python Programming skills
▪ Hands-on experience with NumPy and Pandas
▪ Exploratory Data Analysis (EDA) and project implementation
▪ Statistics for AI/ML
▪ Machine Learning algorithms and project development
▪ Deep Learning, NLP, and Computer Vision
▪ Model creation, training, evaluation, and deploymen
Desired profile ▪ Graduate
▪ Relevant experience of at least 1(one) year in Training.
▪ Hands-on experience with Scikit-learn for Machine Learning model
development
▪ Knowledge of Deep Learning frameworks such as TensorFlow, PyTorch, and
Keras
▪ Expertise in data analysis and manipulation using Pandas and NumPy
▪ Experience with data visualization using Matplotlib
▪ Knowledge of Computer Vision using OpenCV
▪ Experience in Natural Language Processing (NLP) using NLTK and spaCy
▪ Familiarity with application development and model deployment using
Streamlit and Flask.
Interested candidates can share the updated resume to [email protected] and contact on- 9674509000
Pay: ₹200,000.29 - ₹6,000,000.27 per year
Benefits:
Ability to commute/relocate:
- Bhopal, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred)
Application Question(s):
- Are you comfortable for project based role?
Experience:
- NumPy: 2 years (Preferred)
- Pandas: 2 years (Preferred)
- Machine learning: 2 years (Preferred)
- AI: 2 years (Preferred)
- Training: 2 years (Preferred)
Language:
Location:
- Bhopal, Madhya Pradesh (Preferred)
Willingness to travel:
Work Location: In person
