No. of Openings

4

Experience

5To 8 Year(s)

Skill set

Generative AI, LLM, RAG, Model Fine-tuning, Deep-Learning, Transformers (Please interview internally and Upload only pre-vetted profiles)

Domain knowledge

Experience:

o Proven experience in developing and working with state-of-the-art large language models (LLMs) such as GPT, BERT, T5, or other transformer-based models.

o Solid expertise in training, fine-tuning, and optimizing LLMs for real-world applications.

o Hands-on experience with ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, etc.

o Experience with advanced techniques in NLP such as attention mechanisms, transfer learning, and few-shot learning.

o Practical knowledge of deploying AI models at scale in production environments.

• Skills:

o Expertise in deep learning and machine learning algorithms, particularly in the context of generative models.

o Proficiency in programming languages like Python, and familiarity with libraries such as NumPy, Pandas, Scikit-learn, and others.





o Familiarity with cloud-based solutions and tools (AWS, GCP, or Azure) for scalable model training and deployment.

o Knowledge of distributed computing and parallelism for large-scale training.

Job Description

As a Generative AI Engineer specialized in Large Language Models (LLMs), you will work on developing, implementing, and optimizing state-of-the-art generative models that tackle a wide range of complex challenges in AI. You will be part of a multidisciplinary team pushing the frontiers of language understanding and generation, contributing to the research, development, and deployment of large-scale AI systems that can generate coherent, contextually aware, and human-like text.

Key Responsibilities:

• Research & Development: Lead and contribute to research initiatives focused on generative models, particularly LLMs like GPT, BERT, T5, and cutting-edge transformer architectures.

• Model Design & Implementation: Design, implement, and opti

📌 AI/ML - CWR-Chennai
🏢 Arminus
📍 Chennai