Genai Engineer
Core
Design, develop, and deploy large language models using generative AI techniques to solve complex business problems.
Role type
Generative AI Engineer (NLP)
Builds
NLP solutions integrated into existing systems
Domain
Generative AI, Natural Language Processing
Deliverable
production ML models
Required skills
Python, LangChain, large dataset management, algorithm design for data retrieval and augmentation
Responsibilities
Design and deploy large language models, integrate NLP solutions into existing systems, develop and maintain high-quality code for NLP applications, conduct research on emerging trends in NLP and machine learning
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## About the role
Design, develop, and deploy large language models using generative AI techniques to solve complex business problems.
Collaborate with cross-functional teams to integrate natural language processing (NLP) solutions into existing systems.
Develop and maintain high-quality code in Python for NLP applications, ensuring scalability, reliability, and performance.
Conduct research on emerging trends in NLP and machine learning to stay up-to-date with industry advancements.
## Job Requirements
- 5-8 years of experience in developing generative AI models for various industries.
- Strong proficiency in programming languages such as Python, with expertise in libraries like LangChain or similar technologies.
- Experience working with large datasets and designing efficient algorithms for data retrieval and augmentation.
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