Senior Data Scientist - Llm Job in 5c Network Pvt. Ltd.

Position: Senior Data Scientist LLM

Location: Bangalore, Karnataka, India

Type: Full-Time (On-site)

Experience Required: 2+ years in Deep Learning, 1+ years in LLMs

Industry: Healthcare AI

Company Overview:

5C Network is pioneering multi-modal AI systems for autonomous diagnosis in medical imaging. We're building next-generation models that integrate deep learning with language understanding to revolutionize clinical workflows and diagnostic accuracy.

Role Summary:

As a Senior Data Scientist LLM, you will lead the development and deployment of Large Language Models (LLMs) focused on enhancing medical imaging diagnostics. You ll work on cutting-edge problems such as instruction fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG), while ensuring scalability and robustness in production environments.

Key Responsibilities:

LLM Development & Fine-Tuning

• Design and optimize prompts for diverse clinical and imaging-related use cases.
• Perform instruction fine-tuning of LLMs to meet task-specific requirements.
• Develop reasoning pipelines including Chain of Thought (CoT) techniques for complex diagnostic workflows.

LLM Deployment & Optimization

• Self-host and deploy LLMs in secure, scalable production environments.
• Apply quantization and other performance optimization methods to minimize compute and memory footprint.
• Ensure high performance, uptime, and security in AI deployments.

Retrieval-Augmented Generation (RAG) & Vector Databases

• Develop and implement RAG pipelines by integrating LLMs with semantic search.
• Work with vector databases (e.g., Qdrant) to enable fast, efficient retrieval of contextual data.
• Optimize data storage, indexing, and retrieval to support clinical applications.

Data Engineering & Annotation

• Build and manage high-quality datasets tailored for CoT and multi-step reasoning tasks.
• Lead data annotation efforts to enhance LLM understanding of medical contexts.

Collaboration & Research

• Collaborate with researchers, ML engineers, and domain experts to bring LLM solutions from prototype to product.
• Stay ahead of the curve by experimenting with novel LLM architectures and emerging techniques.

Qualifications:

• Bachelor's or Master s degree in Computer Science, Data Science, AI, or a related field.
• 2+ years of hands-on experience in deep learning.
• Minimum 1 year of experience working with LLMs (e.g., instruction tuning, prompt engineering, RAG).
• Prior experience in LLM deployment (self-hosting, optimization, quantization, scaling).
• Proficient in Python and common ML frameworks (e.g., PyTorch, Hugging Face Transformers).
• Familiarity with vector databases like Qdrant or similar.
• Strong interest or prior exposure to healthcare/medical AI.
• Excellent problem-solving, communication, and team collaboration skills.

Technical Stack:

• Languages: Python
• Frameworks: PyTorch, Hugging Face
• Technologies: LLMs (e.g., GPT, LLaMA), Vector Databases (Qdrant), RAG, Quantization
• Tools: Docker, Kubernetes, REST APIs, Git

Why Join Us?

• Work on high-impact AI solutions in the healthcare domain.
• Collaborate with a team at the forefront of multi-modal diagnostic technology.
• Access cutting-edge tools and real-world data to drive innovation.