onsite
AI Engineer - Healthcare - Sarvam
AI Engineer
Lead the design, development, and deployment of AI solutions for healthcare providers and payors, leveraging Python, deep learning, and NLP on AWS to deliver high‑impact, client‑centric applications.
About the role
Key Responsibilities
- Own the end‑to‑end lifecycle of AI applications for healthcare, from problem scoping with clients to production deployment.
- Design and implement machine learning models, including deep learning and NLP pipelines, using Python and relevant frameworks.
- Collaborate with cross‑functional teams to integrate AI solutions into existing healthcare workflows and infrastructure.
- Ensure model robustness, scalability, and compliance with healthcare data regulations on cloud platforms such as AWS.
- Iterate on model performance through continuous monitoring, data collection, and retraining cycles.
Requirements
- Strong experience in Python and machine learning libraries (TensorFlow, PyTorch, scikit‑learn).
- Proven track record building production‑grade AI models, preferably in healthcare or related domains.
- Hands‑on experience with cloud services (AWS, SageMaker, or equivalent) for model deployment and scaling.
- Excellent problem‑solving skills and ability to translate clinical needs into technical solutions.
- Effective communication skills to collaborate with clinicians, data scientists, and product teams.
Skills
pythonmachine learningdeep learningnlpaws