We're Hiring | Lecturer / Assistant Professor – Data Science & Artificial Intelligence
Location: Kochi, Kerala
Employment Type: Full-time | On-site
Salary: Best in the Industry (Based on Qualifications & Experience)
Experience: 2–8+ Years (Teaching / Industry / Research)
Are you passionate about Artificial Intelligence, Machine Learning, and Data Science? Do you enjoy mentoring students and shaping the next generation of AI professionals?.
Key Responsibilities
✅ Deliver engaging classroom and practical lab sessions
✅ Teach Python, Machine Learning, Data Science, AI, Statistics & Data Analytics
✅ Mentor student projects, internships, hackathons, and research initiatives
✅ Develop industry-aligned curriculum and learning materials
✅ Participate in research, faculty development programs, and academic activities
Qualifications
✔ Master's Degree in Computer Science, Data Science, Artificial Intelligence, IT, or a related field
✔ Ph.D. preferred (not mandatory)
✔ 2–8+ years of Teaching, Research, or Industry experience
✔ Industry professionals with AI/ML expertise and a passion for teaching are encouraged to apply
Required Skills
- Data Science & Machine Learning
- Artificial Intelligence Fundamentals
- Python Programming
- Statistics & Data Analytics
- Excellent Teaching & Communication Skills
Preferred Skills
- TensorFlow / PyTorch
- Scikit-learn, Pandas & NumPy
- Deep Learning & NLP
- Power BI / Tableau
- Research Publications
- AI/ML Industry Experience
- AWS, Azure, or GCP
- Git & Version Control
Why Join Lymax Learning?
✨ Teach cutting-edge AI & Data Science technologies
✨ Collaborative and innovation-driven academic environment
✨ Professional development through workshops & certifications
✨ Modern infrastructure and industry-oriented curriculum
✨ Competitive compensation and excellent career growth
Interested candidates can apply now or share their updated resume.
Know someone who would be a great fit? Tag them in the comments or share this opportunity with your network!
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Pay: ₹500,000.00 - ₹1,500,000.00 per year
Work Location: In person
