About the Company

We are a leading educational institution dedicated to providing high-quality training in Data Science and Machine Learning. Our mission is to empower individuals with the skills and knowledge necessary to excel in the tech industry. We foster a culture of innovation, collaboration, and continuous learning.

About the Role The role involves delivering comprehensive training sessions in Data Science and Machine Learning, focusing on practical applications and real-world scenarios.

Responsibilities

- Deliver classroom and/or virtual training sessions in Data Science and Machine Learning.
- Teach Python for Data Science, including NumPy, Pandas, Matplotlib, and Seaborn.
- Cover Statistics, Exploratory Data Analysis (EDA), Data Visualization, and Data Preprocessing.
- Train students on Machine Learning algorithms, model building, evaluation, and optimization.
- Provide practical assignments, case studies, projects, and industry-based examples.
- Guide students in developing end-to-end Data Science projects.
- Assess student performance through tests, assignments, and project evaluations.
- Stay updated with the latest developments in AI,



Machine Learning, Generative AI, and Data Science tools.
- Mentor students regarding career opportunities, projects, interviews, and industry requirements.

Qualifications

Relevant educational background in Data Science, Computer Science, or a related field.

Required Skills

- Proficiency in Python and its libraries for Data Science.
- Strong understanding of Machine Learning concepts and algorithms.
- Experience in teaching or training in a related field.
- Excellent communication and presentation skills.

Preferred Skills

- Experience with cloud platforms and big data technologies.
- Familiarity with Generative AI tools and techniques.
- Previous experience in mentoring or coaching students.

Pay range and compensation package

Market-competitive salary based on experience and qualifications.

Equal Opportunity Statement

We are an equal opportunity employer and are committed to fostering a diverse and inclusive workplace. We encourage applications from individuals of all backgrounds and experiences.

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