Radamatic - AI/ML Engineer - Python Programming (4-8 yrs)

Job Description :

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.

Pipeline Management :

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

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

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.

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.

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 :

- 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.