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Data Science & Data Analytics AI ML Trainer

Quickstep Computer Centre

Bengaluru, Karnataka, India · 全职

抢先申请

经验
最长3年
薪水
INR 16,000 – INR 20,000 / month
职位空缺
1
发布
页:1
工作模式
在办公室
恢复
需要申请

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职位描述

About the Role

Quickstep Computer Centre is seeking a dedicated and knowledgeable instructor specializing in Data Science, Data Analytics, and Artificial Intelligence who can deliver immersive offline training sessions. The position is based in R.T. Nagar, Bengaluru, with preference given to applicants living nearby or in surrounding areas.

Key Responsibilities

  • Provide offline classroom instruction in Data Science, Data Analytics, and AI domains.
  • Lead hands-on practical labs featuring real-time projects and case study analyses.
  • Instruct students on tools including Python, SQL, Advanced Excel, Power BI, Machine Learning, Statistics, Data Visualization, and Generative AI techniques.
  • Guide and support students in projects, assignments, capstone projects, and preparation for interviews.
  • Mentor learners in real-world applications such as data analysis, predictive modeling, and AI implementations.
  • Create a motivating, industry-relevant educational environment.

Qualifications & Skills

  • Comprehensive knowledge in Data Science, Data Analytics, and Artificial Intelligence.
  • Strong command of Python programming, SQL querying, Power BI dashboarding, Advanced Excel functions, Machine Learning algorithms, and libraries like Pandas, NumPy, and Matplotlib.
  • Proficient understanding of Statistics, Data Visualization methods, and Predictive Analytics.
  • Exceptional communication abilities and effective teaching skills.
  • Experience ranging from fresh graduates to up to three years in training or industry roles is welcomed.
  • Preference for candidates residing close to Bengaluru’s R.T. Nagar area.

Salary & Application Details

Compensation is competitive and commensurate with experience. Interested applicants are encouraged to reach out via phone or email and are advised to bring an updated resume to the interview process.

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