Lead Applied Scientist
Salary not listed • Hyderabad, Telangana, India • Full-time
Posted 5mo ago
This job has been open for more than 60 days. It may no longer be actively hiring, so check with the company before putting a lot into an application.
Job Location
Hyderabad, Telangana, India
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
Cohere Health is seeking a Lead Applied Scientist to join their team and deploy machine learning models that automate administrative clinical practices. The Applied Science team focuses on designing, prototyping, and deploying production models that extract or predict clinical findings from various data sources. This role involves collaborating with AI Engineering to monitor these deployed models. The company's platform connects health plans and providers using AI-powered solutions to optimize care speed, cost, and quality, with a recent expansion into payment integrity services. Cohere Health has received industry recognition for its innovations in health technology.
Responsibilities
- Design and develop advanced machine learning algorithms for retrieval, classification, and generative use cases.
- Write and maintain reusable codebases for data preprocessing, model training, and model evaluation.
- Provide scientific and machine learning best practice guidance to junior engineers.
- Collaborate with product managers, clinicians, and technical leadership to align ML solutions with company objectives.
- Assist the manager in information security activities implementation and maintenance.
- Ensure team competence related to information security.
- Implement security policies and procedures and report issues to the Information Security Manager.
Requirements
- Minimum 7+ years of experience in applied ML with a Master's degree or 5+ years with a PhD, ideally in a senior or lead role in a large technology or healthcare company.
- Clear understanding of model building, model maintenance, and measures to optimize models for production use.
- Expertise in experimental design, including independent performance of data collection, measurement, and interpretation of results.
- Expert proficiency in Python and experience with deep learning frameworks like PyTorch.
- Hands-on experience building deep learning models, such as transformers, for NLP tasks.
- Experience with generative AI or Retrieval Augmented Generation (RAG).
- Experience working with unstructured healthcare data, such as clinical notes.
- Experience with OCR or image-based document understanding techniques.
- Hands-on experience using AWS tools like SageMaker Studio.
- Good knowledge of Information practices.