About this role
Job Summary:
Design, develop, and deploy AI/ML models and intelligent systems that enhance clinical decision-making, operational efficiency, and patient outcomes. Collaborate with cross-functional teams to integrate AI capabilities into scalable, secure, and compliant SaaS platforms.
Key Responsibilities:
• Machine Learning & Deep Learning • Expertise in supervised, unsupervised, and reinforcement learning • Familiarity with CNNs, RNNs, transformers, and generative models • Proficiency in TensorFlow, PyTorch, Scikit-learn
• Programming & Software Engineering • Advanced skills in Python, R, SQL; optionally Java or Scala • Experience with CI/CD, Docker, Kubernetes, GitOps
• Data Engineering & Architecture • Building scalable data pipelines and real-time analytics • Experience with Spark, Hadoop, and cloud-native platforms (Azure, AWS, GCP)
• Healthcare Compliance & Interoperability • Knowledge of HIPAA, HL7, FHIR standards • Experience integrating AI into EHRs and clinical workflows
• AI Strategy & Responsible Use • Ethical AI design, bias mitigation, and explainability • Ability to align AI initiatives with business and clinical goals
Required Qualifications:
Education & Experience
• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. • 6+ years of experience in AI/ML engineering, preferably within healthcare SaaS environments • Proven track record of deploying models in production and integrating with cloud-native platforms
Other Preferred Knowledge, Skills, Abilities or Certifications:
• Cloud & AI Certifications • Healthcare Standards & Compliance • Ethical AI & Responsible Use • Data Engineering & Real-Time Analytics