Website:
skillonit.com
Job details:
Company Description Skillonit Learning Hub Private Limited is a mission-driven institute focused on empowering students from rural India through high-quality, industry-relevant IT education. The organization offers comprehensive training programs, 100% guaranteed internships, and full job support so learners can transition into meaningful technology careers. By providing scholarships to financially underprivileged students, Skillonit ensures that talent and ambition are not limited by economic barriers. The learning environment emphasizes practical skills, mentorship, and real-world exposure to help students become job-ready and confident professionals.
Role Description The Data Science, AI/ML Trainer will deliver classroom-based instruction on core data science, machine learning, and AI concepts to learners at various skill levels. This full-time, on-site role in Buldhana involves designing curricula and lesson plans, preparing teaching materials, and conducting interactive lectures, labs, and project-based sessions. The trainer will guide learners through hands-on exercises, supervise real-world projects, and provide continuous feedback on assignments and assessments. Responsibilities include staying updated with industry trends and tools, mentoring students on career paths, collaborating with the institute’s academic team to refine course content, and supporting internship and job readiness activities such as mock interviews and portfolio building.
Qualifications
- Candidates should possess strong data science fundamentals, including statistics, data analysis, and data visualization.
- Candidates should possess practical skills in machine learning and AI, such as model development, evaluation, and deployment.
- Candidates should possess proficiency in relevant programming languages and tools commonly used in data science and AI (e.g., Python, ML libraries, data handling frameworks).
- Candidates should possess the ability to design structured learning content, create assignments, and explain complex concepts in a clear and accessible manner.
- Candidates should possess strong communication, presentation, and classroom management skills to engage and support diverse learners.
- Candidates should possess a learner-centric mindset, with patience, mentorship abilities, and a commitment to supporting students from varied educational and socio-economic backgrounds.
- Candidates should possess experience in academic or corporate training, or significant industry experience in data science, AI, or machine learning.
- Candidates should possess a relevant academic background, such as a degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or an equivalent field; certifications in data science or AI/ML are an advantage.
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