Machine Learning Professional Trainer
3 weeks ago
We are actively searching for a talented and experienced Machine Learning (ML) professional(s) to join our team.
As a Machine Learning professional, you will play a crucial role in training and conducting workshops for professionals, research associates, students etc
**Responsibilities**
The course curriculums includes the following:
- AI & Big Data Analytics - Introduction and Use-Cases in the Industry, General and Narrow AI
- Fields of AI: Image Processing, Computer Vision, Robotics, NLP, etc.
- Introduction to Machine Learning, Supervised, Unsupervised and Reinforcement Learning
- Introduction to Image and Video Data, Representation,
- Classification or Recognition from Data
- Fundamentals of Computing Platforms, Basics of Relevant Software Packages (Jupyter Notebooks), Introduction to Python (pandas and NumPy)
- Hands-on Practice
- Basics of Descriptive Statistics - Measures of Central Tendency, Correlation Techniques, Hypothesis Testing
- Probability Distributions (Normal, Poisson, Exponential, Gaussian, Bernoulli, etc.),
- Regression: Linear Regression and Logistic Regression, Lasso Regression, Ridge Regression
- Gradient Descent Method for Adjusting the Weights,
- Locally Weighted Regression Methods
- Bayesian Learning: Bayes theorem, Bayes Optimal Classifier, Naive Bayes classifier
- Random Forest Algorithm
- Support Vector Machine (SVM)
- Decision Tree Learning Algorithm, K-Nearest Neighbour (KNN) Algorithm
- Clustering Approaches: K Means and Hierarchial Clustering
- Model Validity and Machine Learning Performance Evaluation
- Design of Algorithmic Models in Sample Autonomous Systems and its Evaluation - Data Flow Diagram, Resources, Programming Requirements, Technical Requirements
- Principles of Code and Design Quality, Conversion of Technical Specifications into Software Code
- Testing of the Model, Deployment of ML Models and Monitoring its Performance
**Requirements and skills**
- Proven experience as a Machine Learning Engineer or similar role
- Understanding of data structures, data modeling and software architecture
- Knowledge of math, probability, statistics and algorithms
- Ability to write robust code in Python etc
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
- Excellent communication skills
- Ability to work in a team
- Outstanding analytical and problem-solving skills
- B Tech in Computer Science, Mathematics or similar field; Master’s degree is a plus
**Job Types**: Part-time, Temporary, Freelance, Volunteer
Contract length: 6 months
**Salary**: ₹40,000.00 - ₹60,000.00 per month
Application Question(s):
- How many professional projects have you completed on ML ?
**Education**:
- Master's (preferred)
**Experience**:
- Industry: 1 year (preferred)
- Machine Learning: 3 years (preferred)
**Speak with the employer**
+91 9810600612
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