Machine Learning Trainer

Job Title: Machine Learning Trainer

Location: Bangalore, India

Employment Type: Full-Time/Part-Time/Contract

Experience: 2+ years of experience in Machine learning (teaching/training experience preferred)

**Job Description**:
We are seeking a motivated and skilled Data Science Trainer to join our team in Bangalore. As a Data Science Trainer, you will be responsible for designing and delivering engaging, practical, and effective data science courses to students and professionals. You will play a key role in helping learners acquire essential skills to excel in the data science industry by providing high-quality instruction and guidance.

Key Responsibilities:
Course Development & Delivery: Design, develop, and deliver comprehensive data science courses for beginner to advanced learners.

Teach Core Data Science Concepts: Instruct students on essential data science topics including statistics, data wrangling, exploratory data analysis (EDA), machine learning, data visualization, and big data technologies.

Hands-On Training: Provide hands-on experience with real-world datasets and projects to build learners' practical skills.

Mentoring & Guidance: Mentor students throughout the learning process, helping them with assignments, projects, and resolving doubts.

Course Material Creation: Create and update learning materials such as presentations, video tutorials, exercises, projects, and assessments.

Stay Current: Keep yourself updated on the latest trends, techniques, and tools in data science, ensuring the course content remains relevant and up-to-date.

Feedback & Assessment: Evaluate student performance through quizzes, assessments, and project reviews, providing feedback to help them improve.

Industry Insights: Share industry insights, best practices, and guidance on job preparation in the data science field.

Skills & Qualifications:
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.

2+ years of experience in Data Science, with practical exposure to real-world projects.

Proficiency in Data Science Tools & Languages:
Strong command over Python or R for data analysis and machine learning.

Familiarity with data science libraries like Pandas, NumPy, Scikit-learn, TensorFlow, Keras, etc.

Experience with SQL for database management.

Hands-on experience with data visualization tools (e.g., Matplotlib, Seaborn, Power BI, Tableau).

Knowledge of Machine Learning: Understanding of supervised and unsupervised learning, regression, classification, clustering, and deep learning.

Big Data Technologies: Experience with Spark, Hadoop, or other big data tools is a plus.

Teaching/Training Experience: Previous experience in teaching, mentoring, or conducting workshops in Data Science is preferred.

Communication Skills: Excellent communication and presentation skills, with the ability to simplify complex concepts for learners at all levels.

Passion for Teaching: A passion for education and helping learners achieve their goals in the data science field.

What We Offer:
Competitive salary and performance-based incentives.

Opportunity to work in a collaborative and learning-oriented environment.

Access to the latest tools, technologies, and resources in the data science industry.

Flexible working hours and opportunities for professional growth.

Ability to influence the careers of students and professionals in data science

**Job Types**: Part-time, Freelance

Schedule:

- Day shift
- Monday to Friday
- Morning shift
- Weekend availability

Work Location: In person

**Job Types**: Part-time, Freelance

Schedule:

- Day shift
- Monday to Friday
- Morning shift
- Weekend availability

Work Location: In person