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Job Description
Structured overview of role & requirementsAbout This Role
Lead design and delivery of scalable, secure AI/ML software solutions integrated into healthcare applications and workflows.
Develop and deploy machine learning models, generative AI solutions, retrieval-augmented generation (RAG), and AI agents with strong ML operations practices for model deployment and monitoring.
Guide architecture decisions across teams, mentor engineers, and ensure production readiness, reliability, and security of AI-enabled services.
Minimum Requirements
Bachelor's degree in computer science, engineering, mathematics, or related field, or equivalent experience.
15+ years relevant engineering experience, including 8+ years hands-on software engineering and 3+ years delivering AI/ML solutions in production.
Strong programming skills in at least one backend language plus Python proficiency for AI/ML development.
Experience with distributed systems, APIs, data integrations, security practices, cloud deployments, and AI/ML model lifecycle management (integration, deployment, monitoring).
Ideal Candidate Profile
Proven ability to translate business needs into measurable ML tasks and drive AI/ML from evaluation to production with measurable quality assessment.
Experience with generative AI, LLMs, and retrieval-augmented generation (RAG) in production healthcare or regulated environments preferred.
Strong leadership in cross-team architecture, mentoring engineers, and balancing performance, scalability, cost, and security for enterprise AI/ML applications.