– Machine Learning & Data Science Mentor

Position: Machine Learning & Data Science Mentor

Company: Apex Skill Technologies

Location: Remote (Online)

Employment Type: Part-Time / Freelance / Contract

About Apex Skill Technologies

Apex Skill Technologies is an EdTech company committed to bridging the gap between academics and industry through practical, industry-oriented training, internships, live projects, and placement assistance across various technology and engineering domains.

Job Summary

We are looking for an experienced and passionate Machine Learning & Data Science Mentor to deliver practical, industry-oriented online training to students. The mentor will be responsible for teaching core Data Science and Machine Learning concepts, providing hands-on exposure to relevant tools and technologies, guiding students through real-world projects, and preparing them for internships and entry-level job opportunities.

The ideal candidate should have strong technical knowledge, practical project experience, and the ability to explain complex concepts in a clear and student-friendly manner.

Roles & Responsibilities

* Deliver engaging and structured live online sessions on Data Science and Machine Learning.

- Cover the complete course curriculum within the scheduled duration and allotted sessions.
- Teach Data Science concepts through practical examples, case studies, coding exercises, and real-world datasets.
- Train students in Python programming for Data Science and Machine Learning.
- Provide hands-on training using relevant tools, libraries, and open-source platforms.
- Teach students how to collect, clean, analyze, visualize, and interpret data.
- Explain the complete Machine Learning workflow, from data preparation to model development and evaluation.
- Assign practical exercises, coding assignments, quizzes, and assessments.
- Assign one Minor Project and one Major Project based on real-world business or industry use cases.
- Guide students throughout the complete project lifecycle, including problem definition, data collection, data preprocessing, exploratory data analysis, model development, evaluation, and presentation.
- Review student assignments and projects and provide constructive feedback.
- Conduct doubt-clearing sessions and provide technical support where required.




- Guide students in creating and maintaining project portfolios using GitHub or other relevant platforms.
- Provide basic guidance on model deployment using suitable free or open-source tools.
- Conduct placement-oriented sessions, including technical interview preparation and mock interviews.
- Guide students in preparing qualified resumes and optimizing their LinkedIn profiles.
- Suggest relevant Data Science and Machine Learning keywords to improve profile visibility and job shortlisting opportunities.
- Coordinate with the operations team regarding class schedules, attendance, student progress, assignments, and course completion.
- Ensure professional conduct during all classes and student interactions.

Core Topics to Be Covered

Python for Data Science

* Python Fundamentals
- Variables, Data Types, Operators, and Control Statements
- Functions and Modules
- NumPy
- Pandas
- Data Handling and Data Manipulation

Data Analysis & Visualization

* Data Collection and Dataset Understanding
- Data Cleaning and Preprocessing
- Handling Missing Values and Outliers
- Exploratory Data Analysis (EDA)
- Data Visualization using Matplotlib and Seaborn
- Statistical Analysis and Data Interpretation

Machine Learning

* Introduction to Machine Learning
- Types of Machine Learning
- Supervised Learning
- Unsupervised Learning
- Regression Algorithms
- Classification Algorithms
- Clustering Algorithms
- Feature Engineering and Feature Selection
- Model Training and Testing
- Model Evaluation and Performance Metrics
- Overfitting and Underfitting
- Cross-Validation
- Hyperparameter Tuning

Practical Tools & Technologies

* Python
- Jupyter Notebook / Google Colab
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Scikit-learn
- Git and GitHub
- Relevant open-source or free tools

Projects

* Data Analysis and Visualization Project
- Machine Learning Prediction or Classification Project
- Minor Project
- Major Capstone Project

Required Technical Skills





* Strong knowledge of Python programming.
- Hands-on experience with NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn.
- Solid understanding of Data Cleaning, EDA, Data Visualization, and Statistical Analysis.
- Knowledge of supervised and unsupervised Machine Learning algorithms.
- Experience with model development, evaluation, and optimization.
- Familiarity with Git and GitHub.
- Knowledge of model deployment is an added advantage.
- Ability to work with real-world datasets and explain practical use cases.

Required Professional Skills

* Excellent verbal and written communication skills.
- Ability to explain complex Data Science and Machine Learning concepts in a simple and student-friendly manner.
- Strong presentation and online teaching skills.
- Good problem-solving and analytical abilities.
- Ability to guide students through coding assignments and end-to-end projects.
- Good curriculum planning and time-management skills.
- Ability to engage students and encourage active participation.

Preferred Qualifications

* Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering, or a related field.
- Prior experience as a Data Scientist, Machine Learning Engineer, Data Analyst, AI Engineer, Technical Trainer, Faculty Member, or Mentor.
- Experience in developing Data Science or Machine Learning projects.
- Previous online teaching or student mentoring experience is preferred.

Key Performance Indicators (KPIs)

* Timely completion of the planned curriculum.
- Student attendance and engagement.
- Quality of practical training and tool exposure.
- Completion of coding assignments and projects.
- Student performance and learning outcomes.
- Effectiveness of doubt-clearing and technical mentoring.
- Student feedback and satisfaction.
- Placement readiness and interview preparation outcomes.

Why Join Apex Skill Technologies?

* Flexible remote teaching opportunity.
- Opportunity to mentor students across India.
- Collaborative and learning-focused work environment.
- Opportunity to contribute to practical and industry-oriented education.
- Opportunity to support students in building technical skills, projects, and career readiness.

📌 Machine Learning and Data Science Mentor (India)
🏢 Apex Skill Technologies
📍 India