The Senior AI/ML Developer & Architect will design, implement, and deploy AI/ML solutions that enhance patient care, clinical decision-making, and operational efficiency.

You will integrate predictive, prescriptive, and generative AI capabilities with Salesforce Health Cloud to create intelligent healthcare workflows.

Key Responsibilities :

- Design AI/ML models for patient risk prediction, diagnosis assistance, and personalized care recommendations.

- Integrate GenAI-driven features into Salesforce Health Cloud workflows.

- Work with healthcare datasets including EHR, claims, and IoT devices to develop robust ML models.

- Ensure compliance with HIPAA, GDPR, and other healthcare data privacy regulations.

- Collaborate with architects and developers to implement scalable AI/ML pipelines.

- Deploy models using cloud-native services (AWS Sagemaker, Azure ML, or GCP Vertex AI).

- Optimize models for performance, accuracy, and real-time prediction.

- Develop dashboards and analytics to communicate AI-driven insights to clinical and business users.

- Conduct code reviews, testing, and validation for AI models in production.

- Stay updated with emerging AI/ML techniques and healthcare technology trends.

- Mentor junior data scientists and ML engineers.

Qualifications :

- 7+ years in AI/ML development with healthcare-focused projects.

- Strong experience in Python, TensorFlow, PyTorch, NLP, and GenAI frameworks.

- Proficient with cloud ML services (AWS, Azure, GCP).

- Experience with large-scale healthcare datasets and structured/unstructured data.

- Understanding of healthcare workflows and regulatory compliance.

Preferred Skills & Certifications :

- Certifications in AI/ML or Data Science (AWS ML Specialty, TensorFlow Certified Developer, etc.

- Experience integrating AI with Salesforce or SaaS platforms.

Why Join Value Health? :

- Work on cutting-edge AI solutions transforming healthcare delivery.

- Collaborate with experts in Salesforce, cloud, and clinical workflows.

- Opportunities to lead AI initiatives with direct patient impact