Job Role: AI/ML Engineer (Healthcare) Location: Remote Pay Rate: $65-$75/hr. on 1099 Need someone with healthcare background Job Description: We are seeking a highly skilled AI Engineer with expertise in Machine Learning (ML) modeling and Large Language Models (LLMs) to join a cutting-edge healthcare project. The ideal candidate will have experience tuning and integrating open-source LLMs and supplementing them with custom ML models when necessary. You will work closely with data scientists, software engineers, and healthcare stakeholders to build intelligent, compliant solutions using sensitive patient data. Key Responsibilities: • Utilize and fine-tune open-source LLMs (OpenAI, Hugging Face models) for healthcare-specific use cases. • Identify scenarios where traditional ML models are required to enhance or complement LLM functionality. • Develop, test, and maintain ML models tailored to patient-centric solutions. • Ensure all AI models and data handling practices are HIPAA-compliant. • Collaborate with cross-functional teams including product managers, data engineers, and security analysts. • Optimize model performance for production environments. • Participate in code reviews and contribute to continuous model and pipeline improvement. Required Qualifications: • Strong hands-on experience with Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn). • Proficiency in working with open-source LLMs and experience in prompt engineering, fine-tuning, or customizing pre-trained models. • Solid understanding of ML lifecycle, from data preprocessing to model deployment. • Familiarity with healthcare data formats (HL7, FHIR) and HIPAA compliance requirements. • Experience working with cloud platforms (AWS, Azure, or GCP) for deploying ML/LLM solutions. • Proficient in Python and relevant ML/AI libraries. • Ability to work independently in a remote, collaborative environment. Preferred Qualifications: • Previous experience in the healthcare domain. • Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow). • Experience with data privacy and security in AI applications. • Exposure to medical NLP use cases is a plus.