EMPREGO

Machine Learning Professional Trainer

Jan Elaaj-Índia

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