eShiksha.ai Hiring For Cloud Engineer at Mumbai, Mahārāshtra

eShiksha.ai

We are hiring for Business Development Cum Marketing role.

About Company : eShiksha, a dynamic training Division of Cloudstrats, the premier IT company specialized in cloud automation driven by cutting-edge analytics and AI. At eShiksha, our mission is to empower individuals like you with the essential skills and knowledge necessary to excel in today’s fiercely competitive world. As a leading training academy, we offer a comprehensive array of online and offline courses meticulously crafted to elevate your expertise, supercharge your career prospects, and help you realize your ambitions. eShiksha is accredited by NSDC (National Skill Development Corporation) and NASSCOM, further validating our commitment to providing industry-relevant education

Profile : Business Development Cum Sales Marketing

Location: Mumbai. (Western / Central / Harbour)

Please Note : Candidates from Nearby Ghatkopar Location can apply.

Experience : 3+ Years

Skills : Should be well versed with BD + Sales Marketing role.

CTC : As per Market Standard

Notice Period : Immediate Joiner – 15 Days.

Responsibilities:

Curriculum Development : Design and develop training programs, courses, and materials related to data science, machine learning, and artificial intelligence.

Teaching: Conduct training sessions, workshops, and classes to educate students, professionals, or employees on data science concepts and techniques.

Hands-on Experience: Provide practical, hands-on training by working with real-world data sets and industry-relevant tools and technologies.

Mentoring: Offer guidance and support to trainees in their learning journey, including helping them with projects and problem-solving.

Assessment: Create assessments and assignments to evaluate trainees’ knowledge and skills, and provide feedback for improvement.

Stay Current: Keep up-to-date with the latest developments in data science, machine learning, and related fields to ensure the training content remains relevant.

Collaboration: Work with educational institutions, training organizations, or corporate clients to tailor training programs to their specific needs.

Communication: Communicate complex data science concepts in a clear and understandable manner, adapting teaching methods to different learning styles.

Documentation: Develop and maintain training materials, documentation, and resources for trainees.

Qualifications:

Expertise: A strong background in data science, machine learning, statistics, and related fields. A master’s or Ph.D. in a relevant field is often preferred.

Teaching Experience: Experience in teaching or training in data science, either in a formal educational setting or through workshops and courses.

Technical Proficiency: Proficiency in data science tools and languages such as Python, R, SQL, and data visualization tools.

Communication Skills: Excellent verbal and written communication skills to convey complex concepts effectively.

Problem-Solving: Strong problem-solving skills and the ability to help trainees tackle real-world data challenges.

Adaptability: Willingness to adapt training materials and methods to the needs of diverse learners.

Industry Knowledge: Awareness of industry trends and the ability to teach trainees practical skills relevant to data science job roles.

Patience and Empathy: A patient and empathetic approach to support learners at different skill levels.

Certifications: Relevant certifications in data science or education and training may be advantageous.

A Data Science Trainer plays a crucial role in preparing individuals and teams for the rapidly evolving field of data science and should be passionate about both data science and teaching.

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