Years of work experience:5 year(s)
Remote conditions-Can be 100% remote
Looking for candidates from big tech companies.
Has potential to extend/convert
We is seeking an experienced Data Scientist to join our team. The role will be a member of our Machine Learning Operations Team (ML Ops), working on all aspects of platform develpoment for data science work. Qualified candidates will have demonstrated successin data engineering, software engineering, and advanced experience developing machine learning models through experimentation.
Aims to transform dialysis care and clinical operations through the use of artificial intelligence. You will join a large data science team with access to large data sets , an incredibly robust AI platform, and be surrounded by top talent.
-Deploying model tranining and inference
-Developing and maintaining machine learning infrastructure that powers clinical and operations decision-making
-Conducting Proofs of Concepts relating to AI pipeline development, rapid ML modeling, and improving the data science experience from model ideation to post-deployment maintenance and support.
Demonstrable experience in software development including testing (unit tests, integration tests), advanced programming concepts (types, OOP, FP)
You have worked with Docker extensively and container centric frameworks (Kubernetes, Helm)
You have coding experience, specifically wrangling (such as with Python, SQL, Java, and/or Scala) and analyzing (such as with Pandas or R) large datasets
You have worked extensively with machine learning (such as Tensorflow, PyTorch, or Ray), natural language processing, and advanced analytics (e.g. time series, regression, neural networks, mathematical optimization)
You have experience with workflow orchestration tools such as Airflow, Kubeflow, MLFlow, CI/CD