Staff AI Engineer
- Develop and Deploy AI Solutions: Design, build, and deploy scalable AI products and applications that address critical challenges in home care.
- Analyse and Optimise User Workflows: Leverage AI to analyse user workflows and identify opportunities for optimisation, ensuring solutions align with user needs and deliver measurable improvements.
- Build and Maintain Scalable Production AI Infrastructure: Architect and manage robust AI infrastructure, integrating models into our platform and ensuring seamless data flow using AWS SageMaker/Vertex AI.
- Evaluate and Implement Emerging Technologies: Research and implement cutting-edge AI technologies, including generative AI and reinforcement learning, to enhance platform capabilities and drive innovation.
- Build and maintain an evaluation and testing framework: Work in close collaboration with product and design to define key evaluation methodologies and approached to validating our AI products,
- Collaborate and Share Knowledge: Work closely with data engineering, infrastructure, and product teams, contributing to documentation and knowledge-sharing initiatives.
- Uphold Ethical AI Practices: Ensure all AI solutions adhere to the highest standards of data privacy, clinical safety, and algorithmic fairness.
- Build AI-driven features that help our partners delivery better care more efficiently
- Improve care provider efficiency through AI-powered tools.
- Support the scalability and reliability of our AI infrastructure.
- A passion for AI engineering, with a focus on deploying scalable solutions in production environments and expertise in healthcare industry applications.
- Experience working in a cross functional product engineering squad with deep interest in understanding and solving end user problems.
- A technical leader who stays curious about emerging technologies (e.g., generative AI, reinforcement learning) and rapidly evaluates their pros/cons for practical applications.
- Proven expertise in building and deploying machine learning models using AWS SageMaker/Vertex AI.
- Experience with ML frameworks such as PyTorch or TensorFlow.
- Experience with cloud based API's such as OpenAI APIs or Hugging Face.
- Excellent communication skills and the ability to articulate complex concepts.
- A strong commitment to ethical AI practices and a passion for making a positive impact.
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