Bengaluru Karnataka Guest lecturer computer science Jobs – 1 Open Jobs Today

Lead Academics
k2 learning —Bengaluru, Karnataka
- ₹5,49,526.08 - ₹10,00,000.00 a year
- Full-time
- Computer Science
- Research
- Master's degree
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Lead Academics
k2 learning —Bengaluru, Karnataka
Source and curate high-quality learning resources — papers, datasets, tools, and industry case studies. Identify and coordinate with visiting faculty, industry…
₹5,49,526.08 - ₹10,00,000.00 a year
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Lead Academics

k2 learning
Bengaluru, Karnataka

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Job details

Full-time
₹5,49,526.08 - ₹10,00,000.00 a year

Qualifications

TensorFlow
Image processing
Computer Science
PyTorch
Tutoring
Git
Research
Master's degree
Bachelor's degree
Machine learning
Mentoring
Natural language processing
GitHub
Data science
AI
Python
Teaching experience

Full job description

Greetings from Quad AI ..

We are hiring now ...

Lead Academics ..

The Role

We are looking for a Lead Academics who will own the academic experience of our B.Tech CS (AI & ML) programme from the ground up. This is not a conventional faculty role — you will teach, design curriculum, mentor students, and work directly with the Founders to shape what learning looks like at Quad AI. The ideal candidate is someone who loves being in the classroom as much as they love building systems that make learning better.

What You'll Do Teaching & Instruction

Teach core and elective subjects across the B.Tech CS (AI & ML) programme — including but not limited to Machine Learning, DSA, DBMS, MERN Full Stack, Python Programming, and Mathematics for AI (any one).
Design and deliver lectures, labs, and project-based learning sessions that go beyond textbooks
Create assignments, problem sets, and assessments that test real understanding, not rote recall
Conduct regular doubt sessions, office hours, and one-on-one mentoring for students

Curriculum Design & Academic Planning

Collaborate with the Founders to design and continuously improve the B.Tech CS (AI & ML) curriculum
Map course outcomes to industry skills and ensure the programme stays current with the AI/ML landscape
Build a structured semester-wise academic calendar with clear learning milestones
Source and curate high-quality learning resources — papers, datasets, tools, and industry case studies
Identify and coordinate with visiting faculty, industry practitioners, and guest lecturers

Student Development & Mentorship

Serve as an academic mentor to a cohort of students — tracking their progress and intervening early when needed
Guide students on capstone projects, research problems, and internship preparation
Support students in building strong portfolios, GitHub profiles, and project presentations
Foster a culture of intellectual curiosity, rigour, and peer learning within the classroom

Academic Operations

Maintain accurate records of attendance, assessments, and academic performance
Coordinate with the admissions team to provide academic clarity to prospective students and parents
Support academic accreditation, compliance, and documentation requirements
Contribute to building Quad AI's academic reputation through content, talks, or community engagement

Who You Are

B.Tech / M.Tech or M.Sc in Computer Science, AI, Data Science, Mathematics, or a closely related field
Minimum 3 years of relevant work experience — in industry, academia, research, or a combination
Strong command over core AI/ML concepts: supervised and unsupervised learning, neural networks, NLP, computer vision, and model evaluation
Solid programming foundations in Python; familiarity with frameworks like TensorFlow, PyTorch, or scikit-learn
You genuinely enjoy teaching — you light up when a concept clicks for a student
Ability to explain complex ideas simply, adapt your style to different learners, and make sessions engaging
Comfortable working in a startup environment where structures are built, not inherited
Prior teaching, tutoring, or mentoring experience is strongly preferred

Nice to Have

Experience working at an AI / ML company, research lab, or EdTech platform
Published work, open-source contributions, or a strong technical online presence
Exposure to curriculum design, LMS platforms, or academic programme management
Familiarity with tools like Jupyter, Colab, Weights & Biases, or Hugging Face

What You Get

A direct seat at the table — you will co-build the academic identity of a new-age institution with the Founders
Freedom to design curriculum your way, without bureaucracy or legacy constraints
Competitive compensation benchmarked against industry, not just academia
A Bengaluru campus surrounded by the city's AI and tech ecosystem — conferences, companies, and community
The rare chance to shape how the next generation of Indian AI engineers is trained

Interested candidates ,Please call on the below mentioned details ,

Call or Whats App: Bharani from our Talent Acquisition Team : +91 - 9986008701

Pay: ₹549,526.08 - ₹1,000,000.00 per year

Work Location: In person

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