AI/ML Engineer (Generative AI Expert)

Job Summary:

We are seeking experienced AI/ML Engineers to design, develop, and fine-tune advanced generative AI models for healthcare applications. The role involves working on state-of-the-art AI techniques, ensuring compliance with healthcare standards, and optimizing models for high performance and ethical use.

Key Responsibilities:

Model Development and Fine-Tuning:

○ Design and develop generative AI models (e.g., GPT, BERT, diffusion models) tailored to healthcare needs.

○ Train models on healthcare-specific datasets to improve contextual understanding.

○ Conduct experiments to evaluate model performance and iterate improvements.

2. Pipeline Management:

○ Build scalable machine learning pipelines for preprocessing, training, and deployment.

○ Implement tools to manage and version data and models efficiently.

3. Research and Implementation:

○ Stay updated with state-of-the-art research in generative AI and apply best practices.

○ Innovate on applications of generative AI, such as text summarization, question answering, and anomaly detection.

4. Collaboration:

○ Work with data scientists, domain experts, and software engineers to integrate AI solutions into production systems.

○ Provide guidance and mentorship to junior team members.

5. Compliance and Quality Assurance:

○ Ensure adherence to healthcare regulations (e.g., HIPAA, GDPR).

○ Conduct rigorous testing to validate model accuracy and reliability.

Skills and Qualifications:

Core Skills:

○ Proficiency in machine learning frameworks (PyTorch, TensorFlow).

○ Strong experience with transformer architectures, NLP, and computer vision.

○ Expertise in model optimization techniques (quantization, distillation).

● Healthcare Knowledge(Optional):

○ Familiarity with healthcare data formats like DICOM, FHIR, HL7.

○ Understanding of clinical terminologies and patient workflows.

● Additional Skills:

○ Strong Python programming skills.

○ Experience with cloud platforms (AWS Sagemaker, GCP AI, Azure ML).

○ Knowledge of ethical AI practices and fairness metrics.