Data Science trainer/tutor

About Techolas Technologies

Techolas Calicut is recognized as one of the best software training institutes in Kerala, offering industry-focused IT courses that transform students into job-ready professionals. With a strong commitment to practical learning, live projects, and corporate-style training, Techolas bridges the gap between academic education and real-world IT industry requirements.

Role Overview

We are seeking an enthusiastic and skilled Data Science Trainer to deliver high-quality training sessions, mentor students, and ensure they gain practical expertise in Data Science tools and techniques. This role combines classroom instruction with hands-on projects, industry-relevant case studies, and career-focused guidance. The trainer will be responsible for teaching core and advanced Data Science concepts, including Python, SQL, Statistics, Exploratory Data Analysis (EDA), Machine Learning, Deep Learning, NLP, Computer Vision, Deployment, and Generative AI / Large Language Models (GenAI/LLM).

Key Responsibilities

• Deliver classroom and online training sessions in Data Science, covering Python, SQL, Statistics, EDA, Machine Learning, Deep Learning, NLP, Computer Vision, Deployment, and GenAI/LLM concepts.
• Develop and distribute educational materials including notes, presentations, assignments, assessments, datasets, and practical exercises.
• Teach students how to retrieve, manipulate, and analyze data using SQL.
• Guide students through Exploratory Data Analysis (EDA) to understand, clean, visualize, and identify patterns within datasets before building Machine Learning models.
• Provide practical training on Machine Learning model development, evaluation, and deployment for real-world applications.
• Introduce students to Generative AI and Large Language Models (GenAI/LLM) and their applications in modern AI solutions.
• Supervise classes to ensure a safe, disciplined, and productive learning environment.
• Provide personalized guidance to students, encouraging interactive and practical learning.
• Evaluate student performance through assignments, machine tests, coding exercises, and projects, and provide constructive feedback.
• Monitor and document student progress, maintaining accurate academic records.
• Organize training resources, datasets, tools, and development environments required for lectures and practical sessions.
• Design, develop, and continuously update course curriculum, learning materials, assignments, projects, and practical exercises based on current industry requirements.
• Guide students in developing real-world Data Science projects and assist them in understanding project implementation and discussions.
• Help students prepare for technical and HR interviews through mock interviews, coding practice, technical discussions, and project-based interview preparation.
• Organize and conduct structured training programs, workshops, coding sessions, and practical sessions.
• Ensure classrooms and training environments are clean, organized, and conducive to learning.
• Stay updated with the latest trends, tools, and technologies in Data Science, Machine Learning, Deep Learning, NLP, Computer Vision, Deployment, and Generative AI.
• Support students in building industry-ready technical and professional skills.

Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, Data Science, IT, Statistics, Mathematics, or a related field.
• Strong knowledge of Python, SQL, Statistics, EDA, Machine Learning, Deep Learning, NLP, Computer Vision, and Deployment.
• Knowledge of Generative AI and Large Language Models (GenAI/LLM) is an added advantage.
• Hands-on experience with NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, or PyTorch is preferred.
• Strong understanding of data analysis, data visualization, model development, evaluation, and deployment concepts.
• Hands-on experience with Data Science, Machine Learning, or related real-world projects is preferred.
• Ability to design and update curriculum, assignments, practical exercises, and project based learning materials.
• Excellent communication, presentation, mentoring, and classroom management skills.
• Passion for teaching, mentoring students, and continuous learning.
• Ability to guide students in technical interview preparation, coding practice, mock interviews, and project discussions.
• Freshers with strong technical knowledge and a passion for training are encouraged to apply.
• Relevant certifications in Data Science or related technologies are an added advantage.

Why Join Techolas?

• Be part of one of Kerala’s leading IT training institutes.
• Opportunity to contribute to shaping the careers of aspiring IT professionals.
• Dynamic work environment with exposure to industry-focused training methodologies.
• Growth-oriented role with scope for professional development.
• Opportunity to work with emerging technologies and modern Data Science tools.

Application Question(s):

• Are you currently residing in Kerala?
• Are you comfortable communicating in Malayalam and English?
• Are you willing to work on site in Kozhikode?

Work Location: In person