Adjunct Faculty / Professor of Practice – Artificial Intelligence (NLP, Deep Learning, ML & LLMs)

Ramachandra College of Engineering RCEE; Eluru District; On-site; INR 670,000 - 1,004,000; Part time

Benefits offered by this job

Honorarium per-course

Flexible teaching schedules

Strong lab & research facilities

Job summary

Ramachandra College of Engineering (RCEE) in Andhra Pradesh invites Adjunct Faculty, Professors of Practice, and Industry Experts to join our AI/DS and CSE domains. The roles emphasize industry-aligned teaching and mentorship for students pursuing cutting-edge projects.

We welcome experts in AI, NLP, DL, ML, LLMs, and related areas to contribute through flexible per-course engagements, supported by strong labs and opportunities for funded research and collaboration.

Qualifications

• M.Tech or Ph.D. in CSE/AI/DS/ML/IoT/Cyber Security.
• Candidates from IITs/NITs/NIRF-ranked/QS-ranked institutions strongly preferred.
• Industry experience in AI, NLP, DL, ML, or LLMs is highly valued.

Responsibilities

• AI/ML: supervised/unsupervised learning, ensemble methods.
• NLP: text mining, sentiment analysis, machine translation, conversational AI, speech recognition.
• LLMs: prompt engineering, fine-tuning, deployment, generative AI applications.
• Deep Learning: CNNs, RNNs, Transformers, reinforcement learning, multimodal learning.
• Data Science & Big Data Analytics: predictive modeling, scalable data pipelines.
• Cloud Computing & MLOps: distributed training, model lifecycle management.
• High-Performance & Distributed Computing: GPU/TPU acceleration, parallel computing.

Skills

AI expertise

Industry experience

Teaching/training

Education

M.Tech or Ph.D. in CSE/AI/DS/ML/IoT/Cyber Security

Job description

Job Opportunity: Adjunct Faculty / Professor of Practice – Artificial Intelligence (NLP, Deep Learning, ML & LLMs)

Company Description

Ramachandra College of Engineering (RCEE) is expanding its Computer Science & Emerging Technologies departments and invites passionate educators and industry experts to join our academic team. RCEE is committed to excellence in teaching, research, innovation, and industry‑aligned skill development. With modern labs, a strong research culture, and a student‑centric academic environment, RCEE aims to produce globally competent graduates in AI, ML, IoT, Cyber Security, and Core CSE domains.

We are hiring Adjunct Faculty, Professors of Practice, and Industry Experts for:

• Artificial Intelligence & Data Science (AI&DS)
• Artificial Intelligence & Machine Learning (AI&ML)
• Computer Science Engineering (CSE)
• CSE – Internet of Things (IoT)
• CSE – Cyber Security

Mandatory Qualifications

• M.Tech or Ph.D. in CSE / AI / DS / ML / IoT / Cyber Security.
• Candidates from IITs / NITs / NIRF‑ranked / QS‑ranked institutions are strongly preferred.
• Relevant industry experience in AI, NLP, DL, ML, or LLMs is highly valued.
• Strong academic fundamentals with expertise in core or advanced computing specializations.

Teaching & Technical Areas

We are seeking experts with strong academic or industry backgrounds in one or more of the following domains:

• Artificial Intelligence & Machine Learning (AI/ML): supervised/unsupervised learning, ensemble methods, applied ML solutions.
• Natural Language Processing (NLP): text mining, sentiment analysis, machine translation, conversational AI, speech recognition.
• Large Language Models (LLMs): prompt engineering, fine‑tuning, deployment, generative AI applications, ethical AI practices.
• Deep Learning & Neural Networks: CNNs, RNNs, Transformers, reinforcement learning, multimodal learning, computer vision.
• Data Science & Big Data Analytics: predictive modeling, scalable data pipelines, visualization, applied statistics.
• Cloud Computing & MLOps: distributed training, scalable AI deployment, model lifecycle management.
• High‑Performance & Distributed Computing: GPU/TPU acceleration, parallel computing, scalable architectures.

Compensation & Benefits

• Honorarium / per‑course engagement based on qualifications and experience.
• Flexible teaching schedules tailored for working professionals and industry experts.
• Supportive academic environment with strong lab & research facilities.
• Opportunities for professional development, collaboration, and funded research.