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About the AI Lab at Policybazaar
The AI Lab at Policybazaar is at the forefront of innovation, tackling advanced challenges in processing and analyzing audio, image/video, and text data on a large scale. Our work spans various domains including Speech Recognition, Natural Language Processing (NLP), Computer Vision, and Recommendation Systems. We are dedicated to transforming theoretical research into practical, cutting-edge products that enhance the customer experience.
Responsibilities :
❖ Develop and fine-tune Transformer models (e.g., BERT, RoBERTa, XLNet) for NLP tasks (e.g., text
classification, sentiment analysis, named entity recognition)
❖ Collect, pre-process, and annotate datasets for NLP model training
❖ Conduct research and stay up-to-date with advancements in Transformer architectures and NLP
❖ Develop and fine-tune conversational AI models (e.g., intent recognition, sentiment analysis, dialogue
management)
Requirements :
❖ 3-5 years of experience in NLP, machine learning and data science
❖ Master's or Ph.D. in Computer Science/Data Science (Preferable)
❖ Experience with deep learning frameworks
❖ Clarity on fundamentals of NLP and ML algorithms
❖ Excellent problem-solving and communication skills
What We Offer :
❖ Competitive salary and benefits package.
❖ Opportunities for professional growth and development.
❖ Collaborative and dynamic work environment.
Job ID: 135091439
Skills:
data wrangling , Tableau, Machine Learning, Power Bi, Python, Excel Vba, Data Literacy, Design Thinking, Statistical Validation of OKRs, Problem Formulation, Technical Decision Making, R, Data Storytelling, Advanced Statistical Modeling
Skills:
Machine Learning, Cnn, Clustering, Tensorflow, Rnn, Pytorch, Celery, Docker, MySQL, Flask, Keras, Python, AWS, LSTM, SVD, Transfer Learning, GRU, LDA, uWSGI, Ensemble Learning, Transformer Models, MLFlow
Skills:
Machine Learning, Sql, Python, experimentation, Statistics, ML libraries
Skills:
probability , Customization, Numpy, Nlp, Pytorch, Flask, Python, Ml, Redis, Sql, Deep Learning, Django, MLops, Pandas, FastAPI, scikit-learn, multimodal systems, Hugging Face Transformers, MLflow, embedding-based retrieval, Dash, large language models, Streamlit, SpaCy, TF 2, fine-tuning, Transformers, GNNs, R-Shiny, prompt engineering, Statistics
Skills:
Power Bi, Sql, AWS, Python, Excel, Git, Tableau, data visualization tools, statistical methods, R, machine learning techniques
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