Job Title: AI/ML Engineer - LLM Deployment Specialist
Job Description:
We are seeking an experienced AI/ML Engineer with a strong background in Large Language Models (LLMs) to join our team urgently. The selected candidate will play a crucial role in an innovative project aimed at transforming patient engagement through cutting-edge AI technology. This initiative is part of our incubator, designed to revolutionize how we interact with and support patients.
- Customization and Fine-Tuning: Customization and Fine-Tuning: Customize and fine-tune pre-trained LLMs to meet specific project requirements.
- Model Training: Train models on relevant data sets to enhance their performance in patient engagement scenarios.
- Deployment: Deploy LLM models into production environments, ensuring scalability, security, and efficiency.
- Collaboration: Work closely with cross-functional teams, including data scientists, healthcare professionals, and software engineers, to align AI/ML initiatives with organizational goals.
- Problem Solving: Identify and troubleshoot issues related to model accuracy, performance, and deployment.
- Continuous Improvement: Stay updated with the latest advancements in AI/ML and implement best practices to continually improve model outcomes.
Qualifications:
- Educational Background: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
- Experience: Hands-on experience in AI/ML, with a focus on LLMs.
- Technical Skills:
- Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
- Experience with NLP and LLMs like GPT, BERT, etc.
- Strong understanding of model fine-tuning, transfer learning, and domain adaptation.
- Familiarity with cloud platforms (AWS, Azure, GCP) for deploying AI models