Senior Data Scientist

18 hours ago


Indore, Madhya Pradesh, India Codiant Full time ₹ 15,00,000 - ₹ 20,00,000 per year
  • Hands-on experience with the design and implementation of Machine Learning and Deep Learning models for solving business problems.
  • Wide experience in NLP techniques and frameworks such as SpaCy, TextBlob, Gensim, NLTK, etc.
  • Good understanding of statistical concepts, models, and best practices.
  • Develop, test, and maintain web-based applications to specified designs and standards using Python and frameworks like FastAPI, Django, Flask, etc.
  • Proficiency with Python scripting and basic libraries such as NumPy, pandas, Matplotlib, Scikit-learn, Streamlit, OpenCV, etc.
  • Good understanding of LLM models such as GPT-3.5, GPT-4, LLama-2, Falcon, Stable Diffusion, Mistral, etc., and fine-tuning techniques.
  • Familiarity with various annotation tools like Labelbox, Prodigy, Doccano, etc.
  • Familiarity with supervised and unsupervised ML algorithms.
  • Good understanding of Deep Learning architectures like Transformer, Mixture of Experts, BERT, Roberta, etc.
  • Expertise in LLM application development frameworks like Langchain, Langoid, etc.
  • Good understanding of RAG techniques, VectorDBs like PineCone, Faiss, ChromaDB, etc.
  • Good understanding of SQL and NoSQL databases.
  • Deep understanding of both structured and unstructured datasets and data cleaning techniques.
  • Good understanding of MLOps techniques and tools like MLflow, Kubeflow, DVC, etc.
  • Hands-on experience with Deep Learning frameworks like PyTorch, TensorFlow, Keras, Hugging Face, etc.
  • Good understanding of model quantization techniques and model performance evaluation.
  • Understanding of GPU configurations and troubleshooting, including CUDA.
  • Outstanding analytical and problem-solving skills.
  • Implemented and proficient with OpenCV.
  • Deep understanding of Deep Learning architectures like ANN, CNN, RNN, LSTM, etc.
  • Deep understanding of ML architecture designs and complexity for production-ready ML/DL models.
  • Good understanding of AWS SageMaker, SQS, Lambda, S3, and Azure ML Studios.
  • Good understanding of bot frameworks like Rasa, Amazon Lex, Dialogflow, etc.


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