Skills Required:-
. Programming skills:- Python (with working experience in most of common libraries like Scikit , numpy, pandas, mathplotlib, keras, tensorflow /pytorch, nltk, genism, spacy etc)
. Good knowledge in statistics and math in deep understanding on ML algorithms and their usage
. Working experience in end to end data science project life cycles from use case framing, data collection, data exploration, model building, deployment
. Working experience in most of the common Machine Learning techniques related to Time series, Regression, Classification, Clustering, NLP, working with IoT data
. Working Knowledge in Deep learning with different NN architectures like CNN, RNN, LSTM, RCNNs, GANs, Transformers, VAE etc with strong hold on Pytorch or Tensrflow libraries.
. Knowledge of visualization tools like tableau and cloudera libraries to effectively communicate the results/inferences derived out of data science models
. Good to have working exposure in common cloud environments and understanding of robust on premise data science infrastructure.
. Nice to have understanding of big data related technologies, MLOps and AWS/Azure cloud.Qualifications
Education:
Bachelor’s DegreeSkills
Certifications:
Languages:
Years of Experience:
4 – 7 YearsWork Experience:
Additional Information
Travel:
Yes, 10% of the TimeRelocation Eligible:
Yes
Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities.


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