As an experienced LLM Engineer, you will play a critical role in designing, implementing, and optimizing AI-driven solutions that leverage large language models to meet business goals. Requirements Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field Minimum of 5 years of experience in machine learning and AI development, with at least 2 years focused on LLMs or NLP Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers Demonstrated experience in deploying and optimizing LLMs in production environments Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for AI deployments Advanced proficiency in NLP techniques and AI model development Deep knowledge of transformer-based architectures such as GPT, BERT, or T5 Strong skills in API development and microservice-based architecture Familiarity with DevOps tools for AI model deployment (e.g., Docker, Kubernetes) Understanding of AI regulations and best practices for ethical AI deployment Strong understanding of data preprocessing techniques and dataset management Benefits Competitive compensation package Excellent learning and development opportunities (AI, technology, evolving BPO landscape) Growth opportunities within an expanding team Fully remote working available Working alongside a team of high-caliber and dynamic leaders Excellent work-life balance culture Originally posted on Himalayas