AIML Architect at Precision Technologies Corp

Role: AI/ML Architect Location: Tarrytown NY 10591 Role Overview: We are seeking a visionary and hands-on Machine Learning & Generative AI Architect to lead the design development and deployment of cutting-edge AI/ML and GenAI solutions in the healthcare and biotech domain. The ideal candidate will have deep expertise in transformer-based architecture generative models (LLMs GANs Diffusion Models) and MLOps with a strong understanding of regulatory compliance (e.g. HIPAA) and healthcare data systems. Key Responsibilities: Generative AI & LLMs Architect and implement transformer-based generative models tailored for biomedical data optimizing training pipelines for domain-specific nuances. Compare and evaluate generative models (GANs VAEs Diffusion Models) for synthetic medical image generation selecting the most suitable based on use case. Design scalable GenAI systems for generating synthetic patient records with built-in HIPAA compliance and data anonymization. Fine-tune pre-trained LLMs for domain-specific applications such as drug discovery clinical trial summarization and medical literature analysis. Develop strategies to mitigate hallucinations in LLMs especially for clinical decision support systems. System Architecture & Integration Design GenAI-powered platforms that integrate seamlessly with existing EHR systems supporting real-time inference and secure data exchange. Define and implement APIs for GenAI services optimized for multi-cloud and hybrid environments ensuring scalability and interoperability. Ensure robust model versioning traceability and reproducibility in compliance with regulatory standards. MLOps & Deployment Lead the development of CI/CD pipelines and MLOps workflows for model training evaluation and deployment. Collaborate with data scientists and engineers to optimize model performance using TensorFlow PyTorch and Hugging Face. Manage cloud-native microservices using Python FastAPI and container orchestration tools (e.g. Kubernetes). Required Skills & Qualifications: Strong foundation in AI/ML deep learning and GenAI architectures. Hands-on experience with LLMs RAG systems LangChain LangGraph and vector databases. Proficiency in Python FastAPI and cloud platforms (AWS Azure GCP). Experience with MLOps tools and practices (MLflow Kubeflow CI/CD). Deep understanding of healthcare data standards (FHIR HL7) and compliance frameworks (HIPAA GDPR). Excellent communication and leadership skills. Key Skills APIs,Pegasystems,Spring,SOAP,.NET,Hybris,Solution Architecture,Service-Oriented Architecture,Adobe Experience Manager,J2EE,Java,Oracle Employment Type : Full Time Experience: years Vacancy: 1