CNN / RNN / LSTM
Also written as CNN, Convolutional Neural Network, RNN, Recurrent Neural Network, LSTM, Long Short-Term Memory, GRU, GAN, Generative Adversarial Network
The classic deep learning model types from before transformers. CNNs (convolutional neural networks) are built for images; RNNs and their improved forms, LSTMs and GRUs, for sequences such as text, speech and time series; GANs generate images by pitting two networks against each other. Transformers have taken over much of this work, but CNNs and LSTMs are still widely used.
Think of it like
The specialist tools in a workshop from before the all-purpose power tool arrived: still the right choice for some jobs.
Junior or senior?
Common on data science resumes and interview syllabuses.
Senior sounds like
Has trained one on their own data and can say why they chose it over a transformer or a simpler model.
Ask them
“Which of these did you train on real data, for what problem, and why that type of model?”
Reading CNN / RNN / LSTM on a resume
- Table-stakes
- Most people in this field list CNN / RNN / LSTM, so its presence tells you little, and opening a screen with it can make the call sound junior. Ask what they built with it instead.
Sourcing for CNN / RNN / LSTM
Every way it's written
("CNN" OR "RNN" OR "LSTM" OR "Convolutional Neural Network")Paste into LinkedIn Recruiter, Naukri or your ATS. Combine with a job title and location.
Wider net, with accepted substitutes
("CNN" OR "RNN" OR "LSTM" OR "Convolutional Neural Network" OR "Recurrent Neural Network" OR "Long Short-Term Memory")Includes skills a hiring manager would usually accept instead. Use it when the exact search runs dry.
Job titles to search alongside it
Machine Learning Engineer · ML Engineer · AI Engineer · Applied Scientist · MLOps Engineer · Data Scientist
Where this talent works in India — AI & Machine Learning
Target companies with models in production and their own training or inference spend — hyperscaler AI teams, consumer platforms with ranking systems, and funded model startups. Analytics-only shops produce the job title without the delivery.
For example: Google (Research and DeepMind India), Microsoft (including Microsoft Research India), NVIDIA, Adobe, Amazon, Salesforce, Uber, Sarvam AI.