Trainer in Data Science with AI

10 hours ago

Bengaluru Rural, India RAPSYS TECHNOLOGIES PTE LTD Full time ₹ 15,00,000 - ₹ 30,00,000 per year

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

Salary:
Up to 7.5 LPA

Travel Requirement:
Candidates should be flexible 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 modern 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 & Skills

  • 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).
  • Strong proficiency in Python, R, TensorFlow, and major data analytics tools.
  • Excellent analytical, instructional, and communication skills.
  • Proven ability to design engaging, hands-on, and outcome-oriented learning experiences.

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