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About the role
We are seeking a skilled LLM Engineer with 2 to 4 years of experience to design, develop, and optimize large language models for various applications. The role involves working closely with cross-functional teams to implement scalable and efficient NLP solutions that enhance user experience and deliver business value. Employment Type: Full-time Seniority level: Mid-level Responsibilities Design and develop large language models tailored to business needs. Optimize and fine-tune pre-trained models for performance and efficiency. Collaborate with data scientists and engineers to integrate LLMs into products. Monitor model performance and implement improvements based on user feedback. Stay updated with the latest research and advancements in NLP and AI. Qualifications 2 to 4 years of experience in NLP and large language model development. Strong programming skills in Python and frameworks like PyTorch or TensorFlow. Experience with training, fine-tuning, and deploying transformer-based models. Familiarity with cloud platforms and scalable machine learning pipelines. Good understanding of machine learning fundamentals and evaluation metrics. Preferred Skills Experience with Hugging Face Transformers library. Knowledge of prompt engineering and zero-shot/few-shot learning techniques. Proficiency in model compression and optimization techniques. Understanding of containerization tools such as Docker and Kubernetes. Education Bachelors degree in Computer Science, Engineering, or related field Masters degree preferred Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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