Position Details
About this role
This role involves designing and deploying advanced NLP solutions in healthcare, focusing on unstructured data transformation and generative AI models.
Key Responsibilities
- Design NLP architectures
- Build preprocessing pipelines
- Fine-tune Large Language Models
- Implement MLOps practices
- Monitor model health
Technical Overview
Stack includes NLP frameworks, Transformer models, Python, PyTorch, TensorFlow, cloud deployment on AWS SageMaker, and tools like MLflow, Docker, Kubernetes.
Ideal Candidate
The ideal candidate is a senior AI/ML engineer with 7+ years of experience in NLP, specializing in Transformer-based models, Generative AI, and deployment pipelines. They possess strong expertise in Python, cloud platforms, and scalable NLP architectures, with a focus on healthcare data.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with NLP or Transformer models, No experience with cloud deployment (AWS SageMaker), Less than 7 years of relevant experience
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