Responsibilities:
Develop and apply industry leading machine learning and deep learning systems to help solve business problems
Apply natural processing and generative AI, and customize large models for use in product applications
Develop and fine tune algorithms and models for time series and computer vision applications
Lead design and coding of big data and machine learning systems
Ability to translate business needs and goals into an AI approach and solution, and articulate findings to a non-technical audience
Design model performance metrics and retraining schedule
Assist with deploying models to public cloud infrastructure such as AWS and Microsoft Azure
Mentor other engineers, remain aware of new developments in the field, and help build and grow the team
Qualifications:
Bachelor's degree in computer science, mathematics, or a related field
7 years of leading the design and architecture of new and existing machine learning systems
5 years of experience of professional software development
Experience with natural processing and generative AI
Qualifications:
Graduate degree in computer science, mathematics, or another quantitative field
10 years of experience in model development for time series data, signal, image, and video processing
Deep knowledge of math, probability, statistics, and algorithms
Outstanding analytical and problem-solving skills
Prior Experience In The Healthcare Or Other Regulated Industries
Experience using the following software/tools:
Unsupervised and supervised learning methods
NLP and large model frameworks such as spaCy and langchain
Machine learning frameworks such as Keras, PyTorch, or Tensorflow
Libraries such as numpy, scikit-learn, scipy and statsmodel
Programming : Python, .NET Core, Java