onsite
Senior Applied AI Scientist - Ro
Software Engineer
Lead the design and deployment of AI models that power a next‑generation digital health platform, leveraging Python, deep learning frameworks, and cloud infrastructure to improve patient outcomes.
About the role
Key Responsibilities
- Design, develop, and productionize machine learning and deep learning models that support telehealth, diagnostics, and pharmacy workflows.
- Collaborate with product, clinical, and engineering teams to translate healthcare challenges into data‑driven AI solutions.
- Lead experiments, evaluate model performance, and iterate rapidly using A/B testing and real‑world evidence.
- Implement scalable pipelines on AWS, ensuring data security, compliance, and reproducibility.
- Mentor junior scientists and contribute to the AI research roadmap, publishing findings when appropriate.
Requirements
- PhD or equivalent experience in Computer Science, Electrical Engineering, Statistics, or a related field with a focus on AI/ML.
- 5+ years of hands‑on experience building and deploying production‑grade ML/DL models, preferably in healthcare or regulated industries.
- Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
- Strong understanding of NLP, computer vision, or time‑series analysis applied to clinical data.
- Experience with cloud platforms (AWS) and containerized deployment (Docker, Kubernetes) is required.
Skills
pythonmachine learningdeep learningtensorflowpytorchnatural language processingaws