Job Summary

Job Title: Trainer - Data Science with Artificial Intelligence

Department: Training Research

Location: Bangalore (Lavelle Road)

Work Mode: Work from Office

Experience: 3 to 5 years

Travel Requirement: Candidates should be adaptable to travel across India

Note: Immediate joiners are preferred

Role Overview

The Trainer - Data Science with Artificial Intelligence will be responsible for designing, developing, and delivering advanced training programs that cover data analytics, machine learning models, and AI-driven decision-making. The trainer will play a key role in helping learners effectively apply data-driven methods in both academic and industrial contexts.

Key Responsibilities
Conduct comprehensive training on data preprocessing, statistical modeling, AI algorithms, and data visualization.
Develop practical exercises and real-world projects using industry-relevant datasets and AI-driven tools.
Mentor participants in end-to-end data science project development and evaluation.
Integrate contemporary AI technologies into the data analytics curriculum to ensure relevance and innovation.




Continuously update and enhance course materials to reflect current industry trends and advancements.
Evaluate trainee performance and provide feedback, assessments, and certification support.

Qualifications
Bachelor's degree in Engineering, Computer Science, or related field (BE/BTech/MCA/BCA).
Minimum 3 years of experience as a trainer in Data Science with Artificial Intelligence in academic or corporate settings, with experience in course design and delivery.
Master's or PhD in Data Science, Artificial Intelligence, or related specialization (preferred).

Skills
Python
R
TensorFlow
data preprocessing
statistical modeling
data visualization
AI algorithms
machine learning
data analytics

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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