Artificial Intelligence Engineer

Job Summary: We are seeking a skilled and passionate AI Engineer with over 5 years of industry experience, including at least 2 years in the healthcare sector , to join our growing team. You will work on building and deploying AI/ML solutions that improve patient outcomes, optimize clinical workflows, and contribute to data-driven decision-making in healthcare. Key Responsibilities: Design, develop, and deploy AI/ML models to solve healthcare-specific problems such as disease prediction, clinical decision support, patient risk scoring, and medical image analysis. Collaborate with data scientists, clinicians, and software engineers to define project goals and deliver AI solutions aligned with regulatory and ethical standards. Work with structured and unstructured healthcare data (EHRs, claims, lab data, imaging, etc.), ensuring HIPAA compliance and data privacy. Evaluate and select appropriate ML algorithms, model architectures, and data pipelines. Conduct performance tuning, model validation, and error analysis to ensure clinical-grade accuracy and reliability. Translate AI models into production-ready APIs and microservices. Stay updated on the latest AI/ML developments, especially in the healthcare and regulatory landscape (e.g., FDA, HL7, FHIR). Prepare documentation and present findings to both technical and non-technical stakeholders. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Biomedical Engineering, or a related field. 5+ years of industry experience in software engineering or AI/ML development. 2+ years of hands-on experience working in the healthcare domain , with a strong understanding of healthcare datasets, standards, and workflows. Proficiency in Python and frameworks like TensorFlow, PyTorch, scikit-learn . Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with healthcare standards and data formats such as HL7, FHIR, DICOM, ICD-10, SNOMED . Strong understanding of data security, privacy, and regulatory requirements in healthcare (HIPAA, GDPR). Preferred Qualifications: Experience with medical image processing (CT, MRI, X-ray) and/or NLP on clinical text (doctor notes, discharge summaries). Knowledge of MLOps tools and practices for scalable and maintainable AI systems. Familiarity with clinical workflows , EHR systems (e.g., Epic, Cerner), and public healthcare datasets (e.g., MIMIC-III, eICU). Publications or contributions in healthcare AI conferences/journals (NeurIPS, MICCAI, etc.) is a plus. Show more Show less