Job Specifications
Role: AI/ML Architect
Location: Tarrytown NY 10591 (100% Onsite) – No flexibility, Need someone who can work onsite all 5 days/week from Tarrytown NY (Need email confirmation from candidate along with submission)
Candidate MUST have Healthcare/Pharma/Life Sciences domain experience
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.
About the Company
Arkhya Technologies, Inc. is a premier software solutions and services company, headquartered in Herndon, VA founded in 2014, We have provided premium software development and strategy expertise to hundreds of companies around the world.
Know more