Job Title: Senior AI Engineer (Healthcare Domain) Location: Work from Office (On-site) Experience: 8 – 10 Years
Role Overview We are looking for a highly skilled Senior AI Engineer with strong architectural expertise to design and deliver advanced AI-driven solutions in the healthcare domain. The ideal candidate will leverage modern AI coding tools and frameworks to accelerate development and build scalable, production-grade systems.
Key Responsibilities • Design and architect end-to-end AI/ML solutions for healthcare applications • Develop, optimize, and deploy AI models and intelligent systems • Leverage AI-assisted coding tools (e.g., Git-based workflows, AI copilots) to improve development efficiency • Collaborate with cross-functional teams including data scientists, product managers, and healthcare experts • Ensure scalability, security, and compliance of AI systems within healthcare standards • Mentor junior engineers and guide best practices in AI engineering and architecture • Drive innovation using modern AI frameworks, LLMs, and automation tools
Required Skills & Qualifications • 8–10 years of experience in software engineering with a strong focus on AI/ML • Proven experience in solution architecture and system design • Hands-on experience with: o Git and version control best practices o AI coding assistants (e.g., Copilot, Claude-based tools, Sonnet or similar) • Strong programming skills (Python preferred) • Experience with machine learning frameworks (TensorFlow, PyTorch, etc.) • Solid understanding of APIs, microservices, and cloud platforms (AWS/Azure/GCP) • Experience in deploying AI models to production environments
Educational Qualification (Mandatory) • Bachelor’s or master’s degree in: o Computer Science o Engineering (any relevant discipline such as IT, ECE, etc.) Domain Requirement (Mandatory) • Prior experience in Healthcare / HealthTech is required • Understanding of healthcare data standards, compliance (HIPAA or equivalent), and workflows is a plus Preferred Qualifications • Experience with Large Language Models (LLMs) and generative AI • Familiarity with MLOps pipelines and CI/CD integration • Exposure to data engineering and big data tools • Strong problem-solving and leadership skills Soft Skills • Excellent communication and stakeholder management • Ability to work in a fast-paced, collaborative environment • Strong ownership mindset and architectural thinking
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