Job description

  • 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

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