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Machine Learning and Artificial Intelligence

  • Understanding of standard machine learning principles and deep learning concepts
  • Utilizing classical machine learning and deep learning techniques to develop predictive models for determining clinically relevant outputsĀ 
  • Developing scalable data ingestion and model training pipelines.
  • Deploying production-level code in a cloud-based environment.
  • Writing production-ready code that is version-controlled, readable, efficient, and well tested.
  • Proficiency with Tensorflow / Pytorch, Dask / Kafka / Spark
  • Experienced in design, training, and deploying various deep learning models
  • Proficiency with Python and popular data analysis packages (Pandas, Numpy, Scikit Learn, Tensorflow/Pytorch, etc.)
  • Understanding or desire to learn end to end Machine Learning technology stack (Tools such as GCP Vertex AI, Domino Data Labs, Kubernetes, ,Tensorflow, Pyspark, Jupyter Notebook, Hive, Hadoop, etc).
  • Strong soft skills of communication , ability to share/teach others, work collaboratively with others etc.
  • Proficient in Python, and ML frameworks/libraries.
  • Experience working with: container technology, docker files, docker images, GitHub, CI/CD concepts.

Master's / Bachelor Degree with valid OPT/CPT or any valid work status. Good communication