Job Description
K Health is seeking a Senior AI Researcher to join its data science team. The ideal candidate will be proficient in modern AI methods, including ML, Deep Learning, Gen AI, and Computer Vision, with a passion for turning theoretical problems into practical products. This role involves utilizing unique clinical data to develop AI-based solutions that provide immediate medical benefits to millions of people. The researcher will have end-to-end responsibility for their models, from ideation and research to full productization and monitoring.Responsibilities include:
- Developing clinical AI models to drive K Health's clinics' medical workflows on the provider side.
- Integrating AI algorithms with ML, DL, CV, and Gen-AI solutions tailored to specific clinical needs.
- Designing and building scalable and efficient pipelines for data preprocessing, information extraction, and model training.
- Staying up-to-date with the latest AI research and best practices and integrating them into K Health's products.
- Communicating technical concepts and solutions to non-technical stakeholders.
Requirements include:
- 5+ years of industry experience in researching ML/Deep/NLP/CV problems and implementing solutions using methods including Deep Learning approach (utilizing standard frameworks such as PyTorch, TensorFlow, Hugging Face, LLMs etc.).
- M.Sc./PhD in Computer Science / Statistics / Engineering / Mathematics / Physics with applied focus on machine learning/ CV / deep learning or related fields.
- Strong knowledge of Machine learning and statistical modeling.
- Proven experience in Python.
- Experience in data exploration and visualization.
- Technical skills in the higher end of the data science stack.
- Fast learner, proven problem-solving skills.
- A positive attitude, daring, curiosity, and willingness to learn and teach.
- Passion for medicine, health, wellbeing, and the desire to make a positive impact.
K Health offers:
- Competitive compensation packages based on industry benchmarks.
- Opportunity to work with a leading clinical AI company.
- A collaborative environment.