Website:
vidyavya.com
Job details:
Company Description Vidyavya is an industry-focused learning platform created to bridge the gap between academic knowledge and real-world expectations. Instead of traditional, theory-heavy education, Vidyavya emphasizes implementation, mentorship, live projects, and practical problem solving in AI/ML and Data Engineering. Students gain exposure to real industry scenarios through hands-on learning, paid internships, and career mentorship. Every program is designed to help learners become industry-ready before they enter the workforce, with a strong focus on learning beyond classrooms and outdated methods. Vidyavya aims to empower ambitious students with the skills and experience needed for modern technology careers.
Role Description The AI/ML Instructor role at Vidyavya is a full-time, on-site position based in Pune District. The instructor will design and deliver engaging, practical AI/ML curriculum, including lectures, hands-on labs, and project-based learning aligned with industry practices. Day-to-day responsibilities include mentoring students on real-world projects, guiding them through model development and deployment, reviewing assignments, and providing constructive feedback. The role also involves collaborating with the academic and industry partners to keep course content current, preparing students for internships and placements, and supporting their career readiness through workshops and individual guidance. The instructor will help foster a collaborative, inclusive classroom environment that encourages experimentation, curiosity, and applied learning.
Qualifications
- Strong foundation in AI/ML concepts such as supervised and unsupervised learning, deep learning, and model evaluation.
- Proficiency in programming languages commonly used in AI/ML (e.g., Python) and relevant libraries and frameworks (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch).
- Experience with data handling and preprocessing, including working with structured and unstructured datasets, feature engineering, and data visualization tools.
- Background in designing, training, and deploying machine learning models for real-world applications, preferably with industry or applied project experience.
- Ability to create structured course content, lesson plans, and assessments that emphasize practical, project-based learning.
- Strong communication and presentation skills, with the ability to explain complex technical concepts clearly to learners at different levels.
- Experience mentoring or teaching students or early-career professionals in technology or data-focused programs is highly beneficial.
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related technical field; relevant certifications or industry experience are an advantage.
- Commitment to inclusive, learner-centric teaching practices and continuous improvement of curriculum based on industry trends.
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