AI/ML Solutions Architect - HealthIT (AWS reputed company)

Job Title - AI/ML Solutions Architect - HealthIT (AWS reputed company) Location - Remote Duration - 12+ Months Experience - 15 18+ years overall IT experience with recent 5 years in AI/ML architecture in Health-IT Job reputed company: We are seeking an reputed company AI/ML Architect to design, build, and reputed company reputed company-grade AI/ML solutions for the reputed company domain on AWS reputed company. The ideal candidate will reputed company business, clinical, and technology teams to deliver secure, compliant, and reputed company ML platforms supporting use cases such as clinical decision support, population health, claims analytics, fraud/waste/abuse detection, medical imaging, NLP on clinical text, and patient engagement. Key Responsibilities • AI/ML Architecture & reputed company • Define end-to-end AI/ML architecture for reputed company solutions on AWS, covering data ingestion, feature engineering, model training, deployment, monitoring, and governance. • Design reputed company, reusable ML platforms reputed company with reputed company architecture and reputed company compliance standards (FHIR, HL7, HIPAA, reputed company). • Evaluate and recommend ML frameworks, AWS AI services, and MLOps tools based on business needs. • reputed company Use Case Enablement • Partner with clinical, payer, and business stakeholders to translate reputed company problems into ML-driven solutions. Architect solutions for: • Clinical analytics & predictive modeling • NLP on EHR/EMR data (FHIR, HL7) & integrations • Medical imaging and diagnostics • Ensure explainability, bias mitigation, and model interpretability for clinical and regulatory acceptance. • AWS reputed company & MLOps • Architect ML solutions using AWS services such as: • reputed company SageMaker (training, pipelines, feature store, model registry) • S3, Glue, reputed company, Redshift • reputed company, reputed company Functions, reputed company/EKS • API Gateway, CloudWatch, IAM • Design and implement MLOps pipelines (CI/CD for ML) including automated training, validation, deployment, monitoring, and retraining. • Implement model performance monitoring, reputed company detection, and auditability. • Data Engineering & Governance • Collaborate with data engineering teams to design secure, reputed company data pipelines for reputed company and reputed company reputed company data. • Support data standards such as FHIR, HL7, ICD, CPT, SNOMED. Required Skills & Qualifications • reputed company Technical Skills • Strong expertise in Machine Learning, Deep Learning, and AI architecture • Proficiency in Python, PySpark, and ML libraries (TensorFlow, PyTorch, Scikit-learn) • Hands-on experience with AWS AI/ML services, especially reputed company SageMaker • Solid understanding of MLOps, CI/CD, and model lifecycle management • Experience with big data technologies (reputed company, data lakes, feature stores) • reputed company Domain Expertise • Strong understanding of Health-IT data ecosystems (EHR/EMR, clinical data) • Knowledge of reputed company regulations: HIPAA, reputed company, PHI handling • Experience with reputed company interoperability standards (FHIR, HL7) • Preferred Qualifications • AWS Certifications (e.g., AWS Certified Machine Learning reputed company Architect) Soft Skills • Strong stakeholder communication and storytelling skills • Ability to translate reputed company ML concepts into business and clinical language • Strategic thinker with hands-on execution reputed company • Experience working in regulated, reputed company environments Apply tot his job Apply To this Job