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Data Scientist AWS - May 2021

remote, remote
For one of our clients we are looking for a Data Scientist
  • Python programming language (pandas, numpy,  seaborn)
  • Hands-on experience with ML model cloud deployment, MLOps, preferably on AWS Sagemaker
  • Experience in building machine learning and deep learning models. (related Python packages such as, scikit-learn, pytorch, keras, tensorflow, etc)
  • Experience with building end to end ML pipelines: data pre-processing, model fitting, hyper-parameter tuning, model validation and model deployment
  • Hands-on experience of working along data mining and ML modeling standard processes in context of model life cycle management, e.g. CRISP-DM
Nice to have skills:
  • Experience with the RDKit python SDK
  • Experience with machine-learning based drug discovery:  i.e., molecular properties prediction, de novo molecule generation
  • Building understanding existing ML models
  • Create Gap Assessment of models
  • Reproduce scoring/unit testing of existing models
  • Adding FAIR metadata/formats to models and curated datasets
  • Augmentation of scoring script for each model
  • Model registration on Sagemaker
  • Model deployment on Sagemaker in test environment
  • Validation of deployed model in test environment
  • Expose model as API using Sagemaker into production environment
  • Sagemaker ML Pipelines (random forest, decision trees, logistic regressions etc.) for pre-processing, model training /validation, performance metrics reporting and deployment
  • Establish understanding of required similarity measures
  • Define algorithm for similarity measures against required catalogues
  • Implement similarity search algorithms by using RDkit
  • Pipelines for dimensionality reduction algorithms
Start: ASAP
Location: Remote
Duration: 12 months +

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