LLM Engineer

Job Summary

We are seeking a highly skilled LLM (Large Language Model) Engineer with over 4 years of experience to join our team. The successful candidate will be responsible for developing, optimizing, and deploying large language models to enhance our products and services. This role plays a critical part in advancing our AI capabilities and supporting innovative solutions within the organization.

Responsibilities

• Design, develop, and fine-tune large language models to meet project requirements.
• Implement and optimize machine learning algorithms for natural language processing tasks.
• Collaborate with cross-functional teams to integrate LLMs into existing systems and workflows.
• Conduct research to stay updated with the latest advancements in large language models and AI technologies.
• Evaluate model performance through rigorous testing and validation, ensuring high accuracy and efficiency.
• Document technical processes and provide ongoing support for deployed models.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 4+ years of experience in machine learning, deep learning, or natural language processing.
• Strong proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Hands-on experience with training, fine-tuning, and deploying large language models.
• Solid understanding of NLP techniques, model optimization, and scaling AI solutions.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud for model deployment.
• Excellent problem-solving skills and ability to work independently or within a team.
• Strong communication skills to articulate complex technical concepts.

Preferred Skills

• Experience with distributed training and GPU acceleration.
• Familiarity with data preprocessing and annotation for NLP tasks.
• Knowledge of model compression and efficiency techniques.
• Prior experience working in agile development environments.
• Publications or contributions to open-source AI projects.

LOCATION - Bangalore/Mumbai/Pune