Hyderabad, Telangana, India
Information Technology
Full-Time
NexusLink Services India Pvt Ltd
Overview
Role Overview
We are seeking a highly skilled Data Scientist specializing in Generative AI to design, develop, and deploy state-of-the-art AI models solving real-world business challenges. You will work extensively with Large Language Models (LLMs), Generative Adversarial Networks (GANs), Retrieval-Augmented Generation (RAG) frameworks, and transformer architectures to create production-ready solutions across various Responsibilities :
We are seeking a highly skilled Data Scientist specializing in Generative AI to design, develop, and deploy state-of-the-art AI models solving real-world business challenges. You will work extensively with Large Language Models (LLMs), Generative Adversarial Networks (GANs), Retrieval-Augmented Generation (RAG) frameworks, and transformer architectures to create production-ready solutions across various Responsibilities :
- Design, develop, and fine-tune advanced Generative AI models such as LLMs, GANs, and Diffusion models.
- Implement and enhance RAG and transformer-based architectures for contextual understanding and document intelligence.
- Customize and optimize LLMs for specific domain applications.
- Build, maintain, and optimize ML pipelines and infrastructure for model training, evaluation, and deployment.
- Collaborate with engineering teams to integrate AI models into user-facing applications.
- Stay updated with the latest trends and research in Generative AI, open-source frameworks, and tools.
- Analyze model outputs for quality and performance, ensuring adherence to ethical AI Skills :
- Strong proficiency in Python and deep learning frameworks including TensorFlow, PyTorch, and HuggingFace Transformers.
- Deep understanding of GenAI architectures including LLMs, RAG, GANs, and Autoencoders.
- Experience with fine-tuning models using techniques such as LoRA, PEFT, or equivalents.
- Knowledge of vector databases (e.g., FAISS, Pinecone) and embedding generation methods.
- Experience handling datasets, preprocessing, and synthetic data generation.
- Solid grasp of NLP concepts, prompt engineering, and safe AI practices.
- Hands-on experience with API development, model deployment, and cloud platforms (AWS, GCP, Azure).
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