Applied Scientist at Skyfall AI

Job Overview:

Skyfall AI is seeking a passionate and cutting-edge Applied Scientist to join our advanced AI team in Bengaluru. In this role, you will drive research and development on cutting‐edge large language models (LLMs) and related technologies. Your work will span from pre-training and fine-tuning to post-training tasks—including reinforcement learning from human feedback (RLHF) and prompt engineering—to deliver production-grade solutions that power next-generation enterprise applications.

Key Responsibilities:
LLM Development & Optimization:
Develop, implement, and evaluate state-of-the-art large language models for various applications
Fine-tune and optimize LLMs for domain-specific tasks using techniques such as instruction tuning, post-training methods, and RLHF
Research & Innovation:




Explore novel model architectures and training methodologies to enhance performance and efficiency
Stay current with the latest research developments and integrate emerging techniques into our production systems

Minimum Qualifications:
Experience with transformer architectures (e.g., GPT, BERT) and up-to-date LLM-based solutions
Solid expertise in machine learning, with a focus on natural language processing and large-scale language models
Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow and proficiency in Python
Demonstrated experience in model pre-training, fine-tuning, and deployment in production settings
Familiarity with RLHF techniques and prompt engineering is highly desirable

Location - Bangalore

📌 Applied Scientist Bengaluru (India)
🏢 Skyfall AI
📍 India