- Build scalable software solutions using AI to solve challenges in healthcare
- Build enterprise grade AI solutions with focus on privacy, security, fairness.
- Define system components, data flows, and integration points across platforms (e.g., claims systems, care management tools, APIs).
- Ensure designs align with enterprise standards (security, privacy, interoperability, cloud architecture).
- Document architecture decisions and trade-offs for transparency and future scalability.
- Work with Product as a sr full stack engineer and architect and develop scalable, resilient, ethical AI solutions
- Build extensible API Integrations, low code UI/UX solutions, with extremely short cycle times, to extract information from sources, integrate with AI models, receive insights and make them available in intuitive, high performing dashboards
- Strong engineering skills to design the output from the AI
- Build solutions that align with responsible AI practices.
- Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes.
- Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes
- Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies.
- Optimize entire software system for improved performance, scalability, and efficiency.
- Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
- Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
- Strong understanding and exposure in natural language generation or Gen AI like transformers, LLM s, text embedding s.
|
Never miss an opportunity! Create an alert based on the job you applied for.
