Deep Learning Industy​/Acadmic Expert

Location: Borivli

Company Description
Calx Map is an all-in-one Expert Marketplace and Ed-Social Media Platform dedicated to helping students define their goals, create personalized academic and career pathways, and connect with institutions, mentors, and opportunities. By bridging education, skills development, and employability, the platform fosters an ecosystem where learners engage with universities, industry leaders, and peer communities. Calx Map empowers students with access to verified industry experts and career insights, offering internship and placement support, guest faculty sessions, and a comprehensive mentorship network.

Our mission is to build the Linked In of Education—a place where students can seamlessly plan, connect, and grow.

Role Description
We are seeking a passionate and knowledgeable expert in Introduction to Deep Learning for a dynamic role s is a remote position, requiring the expert to design and facilitate educational content, conduct engaging sessions, mentor learners, and provide personalized guidance on topics related to deep learning. Day-to-day tasks will include preparing learning materials, collaborating with other professionals, sharing industry insights, and assisting students in their practical projects for real-world applications.

Qualifications
Proficiency in Deep Learning concepts, techniques, and frameworks (e.g., Tensor Flow, PyTorch, Keras)
Strong understanding of Artificial Intelligence, Neural Networks, and Machine Learning
Experience in Undergraduate or Graduate-level mentoring, course design, or teaching
Familiarity with industry trends and applications of deep learning in sectors such as healthcare, finance, or automation
Excellent communication and presentation skills to effectively engage and instruct students
The ability to provide career guidance across academic and industry opportunities in deep learning
Master's or Ph.D. degree in Computer Science, AI, or related field (or equivalent experience)
Previous practical experience in solving complex problems using Deep Learning models

Key Responsibilities:

Deliver a structured 15-hour training program on deep learning fundamentals
Cover topics such as neural networks, model training, computer vision/NLP basics, and real-world use cases
Provide practical demonstrations using Python and popular frameworks (e.g., Tensor Flow or PyTorch)
Support learners with exercises, Q&A, and guidance throughout the course.

Compensation:  ₹2,000 per hour (Total 15 hours)

How to Apply:

Please share your profile, teaching experience, and relevant project links or portfolio.
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