Data Science Technical Lead ( GenAI + LLM)
GeBBS Healthcare Solutions · Mumbai · onsite · Posted 56d ago
Undisclosed5–10 yrsfulltimeSourced from
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About this role
Skillset Requirements:
- Experience: 5-10 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
Role and Responsibilities:
- 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
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
Cloud DeploymentModel Deploymentai modelsamazon web servicesNatural Language ProcessingLLMOpsProgrammingMl PipelinesML modelsLarge Language Models (LLMs)Database ManagementdeploymentPythoncloudMicrosoft AzureGenerative AiData ScienceArtificial IntelligenceMachine Learning
About GeBBS Healthcare Solutions

GeBBS Healthcare Solutions
Healthcare
7.6k+
employees
2005
21 years old
Navi Mumbai, Maharashtra
India
₹4.3L PA avg
Avg at GeBBS Healthcare Solutions
About
GeBBS Healthcare Solutions is a leading provider of Revenue Cycle Management (RCM), Health Information Management (HIM), and Risk Adjustment solutions for health systems, hospitals, and health plans.
Industries
HealthcareFinancial Services
Employee ratings
10 reviews
3.7/ 5
Culture
2.9
Career growth
2.5
Work-life
3.0
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