Data Scientist Job

3-7+ years of working experience in Enriching Data, data mining, developing models and Statistical Analysis.
Experience in prompt engineering.
Should have built expertise in either vision of natural language processing areas.
Good experience with Convolution Neural Networks.
Must have an in depth understanding of CNN components such as Convolution, Pooling etc. OR Must be Familiar with NLP featurization techniques such as TF-IDF, W2Vec, Tokenization etc.
Must have experience with Vision models such as VGG, ResNet, AlexNet etc.
Experience with NLP libraries such as NLTK, Gensim, or Spacy etc.
Experience in data mining, machine learning and artificial intelligence areas.
Experience with deep learning frameworks such as Tensorflow, PyTorch etc.
Expertise is understanding the underlying mathematics of ML models.
Experience in generative AI including LLMOps, prompt engineering, performance optimization.
Knowledge of fine-tuning LLMs for a given domain.
Experience in state of the art vision transformers and diffusion probabilistic models.
Experience in evaluating and reasoning model predictions in terms of accuracy.
Experience in monitoring models in production, identifying drift and enabling continuous learning of models.
Excellent Problem-solving skills with can do attitude.
Should have experience with end-to-end ML model development cycle from data collection to deployment.
Should be skilled in creating scalable deployment frameworks for Trained ML models.
High Impact communication and presentation skills.
Excellent mathematical and statistical knowledge.
Familiarity with Docker and Kubernetes

Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.