Generative AI / LLM Engineer @ Coforge

Job Description

We are looking for a highly skilled and experienced Generative AI / LLM Engineer to join our team at Cofforge. The ideal candidate will have a strong background in artificial intelligence and machine learning, with the ability to develop and implement innovative solutions.

Roles and Responsibility

• Design and develop generative models such as GANs and VAEs for various applications.


• Collaborate with cross-functional teams to integrate AI models into existing systems.


• Develop and maintain large language models (LLMs) for text generation and analysis.


• Implement deep learning techniques using TensorFlow or PyTorch.


• Work on natural language processing tasks including text classification, sentiment analysis, and entity resolution.


• Participate in code reviews and contribute to improving overall code quality.

Job Requirements

• Strong understanding of artificial intelligence and machine learning concepts.


• Experience with deep learning frameworks like TensorFlow or PyTorch.


• Knowledge of programming languages such as Python, Java, or C++.


• Familiarity with cloud platforms like AWS or Google Cloud.


• Excellent problem-solving skills and attention to detail.


• Ability to work collaboratively in a team environment.

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Other
Role Category: Other
Role: Other
Employement Type: Full time

Contact Details:

Company: Coforge
Location(s): Bengaluru

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Keyskills:   image processing algorithms python c++ cnn natural language processing neural networks machine learning artificial intelligence sql deep learning tensorflow r java data science gcp computer vision pytorch text mining aws opencv pattern recognition