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Assistant Professor - Data Science & AI

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Onsite

Assistant Professor - Data Science & AI

AAFT

Assistant Professor - Data Science & AI

Skills

Google Cloud PlatformSQL QueriesDeep LearningTableauDockerPythonData ScienceKerasPyTorchTensorFlowMachine LearningAIAWSGitHubNLP / Natural Language ProcessingPower BIAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Uttar Pradesh, India

Work mode:

Onsite

Published on:

23 September 2026

What they need


About us

AAFT has been providing education in media and arts for the past 30 years. We offer

50 + professional courses in various fields of Cinema, Journalism and Mass Communication, Performing Arts, Animation, Hospitality and Tourism, Still Photography, Advertising, PR and Events and Fashion Design.

We go beyond the traditional teaching method and focus more on the

Self- discovery of students’ potential. AAFT boasts of rich cultural engagement and academic excellence. The Institute attracts students from some of the most popular countries in Asia, Africa, Australia, Europe, North America, and South America.

Company Website: https://www.aaft.com

Designation: Assistant Professor - Data Science & AI (SODSAI

Location: Noida, Sector 16

Work Mode: 6 Days WFO

Shift Timings: 8:30 am - 4:30 pm

Position Summary

The Assistant Professor – Data Science & AI will be responsible for delivering theoretical and practical training in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, Generative AI, and Computer Vision. The role includes curriculum development, hands-on project guidance, student mentoring, and keeping students aligned with emerging AI technologies and industry practices.

Key Responsibilities:

 Design and deliver AI training sessions covering:

 Python, SQL, Statistics, Advance Excel, Power BI,Tableau

 Machine Learning (Supervised, Unsupervised, Reinforcement Learning)

 Deep Learning (CNNs, RNNs, GANs, LSTMs)

 Natural Language Processing (Transformer, BERT, Encoder-Decoder, Sequence to Sequence Models)

 Generative AI (LLMs, Transformers, Prompt Engineering)

 Computer Vision

Requirements:

 Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field.

 3+ years of hands-on experience in AI/ML model development and deployment.

 Strong knowledge of Python, TensorFlow, PyTorch, Keras,Scikit-learn, and ML libraries.

 Familiarity with Generative AI models (ChatGPT, LLaMA, DALL·E, etc.)

 Experience with cloud platforms (AWS, GCP, or Azure)

 Prior experience in teaching/training (corporate, academic, or bootcamp) is preferred.

 Excellent communication and presentation skills.

Preferred Qualifications:

 Certifications in AI/ML from reputed organizations (e.g., Google, Coursera, Microsoft, DataCamp).

 Experience with MLOps, vector databases, and deployment tools.

 Agentic AI, Responsible AI, Explainable AI skills

 Knowledge of tools like Jupyter, GitHub, Docker, and VSCode.

 Contribution to AI open-source projects or publications.

Pay: ₹500,000.00 - ₹600,000.00 per year

Application Question(s):

  • Current in hand salary?
  • Expected in hand salary?
  • Notice Period?
  • How many years of experience do you have with AI/ML model development and deployment?

Work Location: In person

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