Data Science Technical Lead ( GenAI LLM)
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Job Description
Work from Office
Office Time : 11am to 8pm
Skillset Requirements
- Experience: 510 years in data science
- Programming: Minimum 5 years in Python
- Machine Learning/NLP: At least 4 years
- LLM & GenAI: Minimum 1.5 years with large language models and generative AI
- Database Management: At least 2 years with any database
- Cloud Deployment: 1+ years deploying ML models/Python apps on Azure or AWS
- LLMOps: Familiarity is a plus
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- Leadership: Lead development, deployment, and optimization of ML, NLP, and LLM/GenAI solutions
- Pipeline Development: Develop and maintain Python-based ML pipelines; manage associated databases
- Model Deployment: Deploy AI models on Azure/AWS, ensuring performance and scalability
- Mentorship: Stay updated on ML, NLP, and GenAI advancements; mentor team members
- Best Practices: Implement LLMOps best practices for efficient model lifecycle management
Skills
PythonData ScienceMachine LearningLarge Language ModelsAiMlIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
GeBBS Healthcare Solutions careers provide a gateway to professionals passionate about making a meaningful impact in the healthcare industry through innovative outsourcing solutions. As a leading provider of healthcare outsourcing solutions, GeBBS Healthcare Solutions specializes in medical billing, coding, revenue cycle management, and health information management services that help healthcare providers and payers improve their operational efficiency and financial performance. A career at GeBBS Healthcare Solutions means joining a team committed to excellence, integrity, and innovation. The company fosters a supportive and inclusive environment where employees can grow, thrive, and contribute to transforming healthcare services. With GeBBS Healthcare Solutions, embark on a rewarding career journey that combines professional growth with the opportunity to improve patient care and healthcare systems worldwide.
Important dates & deadlines?
Application Deadline
24 Nov 25, 04:14 PM IST
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