AI ML Engineer - Generative AI Expert

You will design and develop generative AI models and implement machine learning solutions within a healthcare context. Responsibilities Design and develop generative AI models including GPT, BERT, and diffusion models. Apply model optimization techniques such as quantization and distillation. Integrate clinical terminologies and patient workflows into AI solutions. Work with healthcare data formats including DICOM, FHIR, and HL7. Implement ethical AI practices and fairness metrics in model development. Required Skills 5+ years of experience in machine learning or related fields. Proficiency in PyTorch and TensorFlow. Deep understanding of transformer architectures, NLP, and computer vision. Strong Python programming skills. Experience with AWS SageMaker, GCP AI, or Azure ML. Knowledge of fine-tuning generative models. Familiarity with healthcare data standards like DICOM, FHIR, and HL7. Any Graduate degree. You will design and develop generative AI models and implement machine learning solutions within a healthcare context. Responsibilities Design and develop generative AI models including GPT, BERT, and diffusion models. Apply model optimization techniques such as quantization and distillation. Integrate clinical terminologies and patient workflows into AI solutions. Work with healthcare data formats including DICOM, FHIR, and HL7. Implement ethical AI practices and fairness metrics in model development. Required Skills 5+ years of experience in machine learning or related fields. Proficiency in PyTorch and TensorFlow. Deep understanding of transformer architectures, NLP, and computer vision. Strong Python programming skills. Experience with AWS SageMaker, GCP AI, or Azure ML. Knowledge of fine-tuning generative models. Familiarity with healthcare data standards like DICOM, FHIR, and HL7. Any Graduate degree.