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

Role:  Data Scientist 

Industry Type:  Banking

Department:  Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning