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Data Science Trainer

Technobrilliant Learning Solutions

Pune, Maharashtra, India · Jornada completa

Sé el primero en postularte

Experiencia
2–5 años
Salario
INR 250,000 – INR 500,000 / year
Vacantes
1
Al corriente
Hace 8 horas
Modo de trabajo
En la oficina
Educación
Cualquier graduado
Elegibilidad
Any graduate or B.Tech/B.E. holders from any specialization may apply.
Reanudar
Se requiere solicitud

Dónde trabajarás

Descripción del trabajo

About the Company

Technobrilliant Learning Solutions is a reputed IT education provider with multiple centers in Pune. The organization specializes in delivering comprehensive IT training in areas including Full Stack Development, Java, Python, .NET, Testing, and Data Science, aiming to equip aspiring IT professionals with industry-ready skills.

Job Overview

We are seeking an enthusiastic and knowledgeable Data Science Trainer to conduct expert-led training programs covering data science, analytics, machine learning, and business intelligence. The role demands strong technical acumen, excellent communication abilities, and a passion for mentoring students to help them acquire practical skills through real-life projects and interactive sessions.

Key Responsibilities

  • Conduct both in-person and online instructional sessions on Data Science, Data Analytics, Machine Learning, and Artificial Intelligence.
  • Provide training on Python, SQL, and essential data manipulation libraries such as Pandas and NumPy.
  • Explain foundational and advanced topics including statistics, probability, data visualization, feature engineering, and predictive modeling.
  • Guide learners through machine learning algorithms using Scikit-learn and introduce deep learning concepts leveraging frameworks like TensorFlow or PyTorch.
  • Facilitate practical hands-on labs, assignments, case studies, and capstone projects based on real-world datasets.
  • Train students on visualization tools including Power BI, Tableau, Matplotlib, and Seaborn.
  • Create and update course materials, presentations, assessments, and supplementary learning resources.
  • Assess learner performance through quizzes, assignments, and project evaluations while providing constructive feedback.
  • Offer mentorship on career progression, portfolio development, resume building, and preparation for interviews.
  • Keep abreast of emerging industry trends and integrate topics such as Generative AI, Large Language Models (LLMs), MLOps, and cloud analytics into the curriculum.
  • Collaborate with internal teams to continuously enhance training effectiveness and learner success.

Required Skills & Qualifications

  • Proficiency in Python, SQL, and data analytics methodologies.
  • Strong conceptual knowledge of statistics, probability, and machine learning.
  • Experience with libraries like Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn.
  • Familiarity with data visualization platforms such as Power BI and/or Tableau.
  • Awareness of deep learning frameworks like TensorFlow or PyTorch.
  • Understanding of cloud technologies (AWS, Azure, or Google Cloud) is advantageous.
  • Excellent communication, presentation, and classroom management skills.
  • Ability to simplify complex technical concepts for learners with diverse backgrounds.
  • Bachelor's or Master's degree in Computer Science, Data Science, IT, Statistics, Mathematics or related disciplines.
  • Two to five years of experience in data science, data analytics, or a related technical field.
  • Previous experience in delivering technical training or mentoring is preferred.
  • Relevant certifications in Data Science, Machine Learning, Cloud, or Business Intelligence are beneficial.

Preferred Skills

  • Experience with NLP, Generative AI, Large Language Models, or MLOps.
  • Knowledge of tools such as Git, Docker, APIs, and fundamentals of data engineering.
  • Background in teaching within corporate training, educational institutions, or e-learning environments.

Desired Competencies

  • Strong technical expertise and analytical skills.
  • Effective communication and presentation capabilities.
  • Mentorship and coaching aptitude.
  • Organizational and time management skills.
  • Commitment to continuous learning and adaptability.
  • Team collaboration abilities.

Eligibility

Applicants should be graduates or possess B.Tech/B.E. degrees in any specialization.

Compensation

The offered salary ranges from INR 250000 to INR 500000 annually.

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