Overview
Remote
Depends on Experience
Full Time
No Travel Required
Skills
Generative AI Model Development
Open-source LLM Frameworks
NLP Techniques
Model Fine-tuning
Production-ready Application Deployment
MLOps Integration
Job Details
Title: GenAI and Open-source LLM Developer
Experience Range: 4 - 6 Years
Compensation: 0 - 0 [Set Accordingly] / [Set Accordingly]
Employment Type: Permanent
Work Locations: Maharashtra, Maharashtra, India
Remote Allowed: Yes
Notice Period: 4 Weeks
Minimum Education: Bachelors
Roles and Responsibilities:
- Design and implement generative AI models and open-source LLMs.
- Enhance model performance using advanced NLP techniques.
- Contribute to open-source projects and communities.
- Prepare and process data for machine learning workflows.
- Utilize frameworks such as LangChain and AutoGen.
- Fine-tune pre-trained models for specific applications.
- Deploy models using frameworks like FastAPI and Django.
- Develop MLOps pipelines for seamless model deployment.
- Collaborate with data engineers for quality data acquisition.
- Research and apply advancements in generative AI and NLP.
- Optimize models for scalability and reliability.
- Mentor junior developers and uphold development standards.
Must-Have Skills: Generative AI Model Development, Open-source LLM Frameworks, NLP Techniques, Model Fine-tuning, Production-ready Application Deployment, MLOps Integration
Other Skills: Generative AI Model Development, Open-source LLM Frameworks, NLP Techniques, Model Fine-tuning, Production-ready Application Deployment, MLOps IntegrationApply Here
Experience Range: 4 - 6 Years
Compensation: 0 - 0 [Set Accordingly] / [Set Accordingly]
Employment Type: Permanent
Work Locations: Maharashtra, Maharashtra, India
Remote Allowed: Yes
Notice Period: 4 Weeks
Minimum Education: Bachelors
Roles and Responsibilities:
- Design and implement generative AI models and open-source LLMs.
- Enhance model performance using advanced NLP techniques.
- Contribute to open-source projects and communities.
- Prepare and process data for machine learning workflows.
- Utilize frameworks such as LangChain and AutoGen.
- Fine-tune pre-trained models for specific applications.
- Deploy models using frameworks like FastAPI and Django.
- Develop MLOps pipelines for seamless model deployment.
- Collaborate with data engineers for quality data acquisition.
- Research and apply advancements in generative AI and NLP.
- Optimize models for scalability and reliability.
- Mentor junior developers and uphold development standards.
Must-Have Skills: Generative AI Model Development, Open-source LLM Frameworks, NLP Techniques, Model Fine-tuning, Production-ready Application Deployment, MLOps Integration
Other Skills: Generative AI Model Development, Open-source LLM Frameworks, NLP Techniques, Model Fine-tuning, Production-ready Application Deployment, MLOps IntegrationApply Here
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