Data Scientist
18 hours ago
• 5+ years' experience as data scientist with MLops understanding.
• Responsible to development of models and prototypes in AWS sagemaker notebook using Python, Pyspark.
• Perform detailed analysis of data sources using AWS Athena, Redshift or Databricks SQL in terms of Data Quality and Feature Engineering. Expert in SQL querying and know windowing functions.
• Perform data assessment and other data related preparations needed for the use case.
• Have good understanding of the different linear and nonlinear model algorithms like Random Forest, XGBoost, etc. Aware of different model evaluation techniques.
• Responsible to perform the MLops operation end to end (i.e. development, validation, deployment & visualization) using different AWS services like AWS lambda , Step functions, Jenkins & Terraform.
• Have good understanding of cloud and different cloud services.
• Proficient in coding logic using python and have used python libraries like Numpy, Pandas, Scipy, NLTK, Sklearn etc. and different data wrangling packages.
• Good to have hands on experience on visualization tool like PowerBI, Tableau etc.
• Expert level knowledge of advanced data mining and statistical modelling: Predictive modelling techniques Classification techniques; Clustering techniques & Text mining techniques.
Candidate MUST HAVE:-
Hands on model building with python / pyspark ml
AWS experience (Sagemaker, Athena, etc.)
Databricks experience
Experience with TensorFlow or Pytorch (Transformer model)
Experienced with Scikitlearn python package
Expert in SQL querying and know windowing functions
GitHub experience
Good to have:-
Airflow
Docker
AWS Bedrock
PowerBI
GEN AI experience
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